From 69d93f74575eca6658e369106125c1f1ec51f7e8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Laure=CE=B7t?= Date: Wed, 4 May 2022 23:56:17 +0200 Subject: [PATCH] feat: full train go brr --- src/notebook_train.ipynb | 484 ++++++++++++++++++++++++++++------- src/notebook_train_rot.ipynb | 325 ++++++++++++++++++++--- 2 files changed, 681 insertions(+), 128 deletions(-) diff --git a/src/notebook_train.ipynb b/src/notebook_train.ipynb index 132ed69..3f1759b 100644 --- a/src/notebook_train.ipynb +++ b/src/notebook_train.ipynb @@ -14,22 +14,24 @@ "%matplotlib inline\n", "\n", "import tensorflow as tf\n", - "import tensorflow_addons as tfa\n", "from tensorflow.keras.models import Sequential\n", "from tensorflow.keras.layers import InputLayer, Dense, Flatten, Conv2D, MaxPooling2D\n", - "from tensorflow.keras import optimizers\n" + "from tensorflow.keras import optimizers\n", + "\n", + "import albumentations as A\n" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/tmp/deepl/data\n" + "/tmp/deepl/data\n", + "['octane', 'aftershock', 'werewolf', 'breakout']\n" ] } ], @@ -37,108 +39,185 @@ "IMAGE_SIZE = (400, 150, 3)\n", "RESIZED_SIZE = (100, 50, 3)\n", "RESIZED_SIZE_PIL = (RESIZED_SIZE[1], RESIZED_SIZE[0], RESIZED_SIZE[2])\n", + "\n", "DATASET_PATH = \"./data/\"\n", "DATASET_PATH = os.path.abspath(DATASET_PATH)\n", - "CLASSES = [\"octane\", \"aftershock\", \"werewolf\", \"breakout\"]\n", - "\n", "print(DATASET_PATH)\n", "\n", + "if not os.path.isdir(DATASET_PATH):\n", + " !wget https://fainsil.users.inpt.fr/content/dataset.zip\n", + " !unzip -qq dataset.zip\n", + " !rm dataset.zip\n", + "\n", + "CLASSES = [\"octane\", \"aftershock\", \"werewolf\", \"breakout\"]\n", + "print(CLASSES)\n", + "\n", "AUTOTUNE = tf.data.experimental.AUTOTUNE\n", - "VALIDATION_SPLIT = 0.15\n", "BATCH_SIZE = 32\n", - "SHUFFLE_SIZE = 64\n", - "LIMIT = 1000\n", - "EPOCHS = 1\n" + "EPOCHS = 1\n", + "RANDOM_SEED = 2\n" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ - "def customGenerator():\n", - " # get uuid and model list from sqlite db\n", - " data = (\n", - " sqlite3.connect(f\"{DATASET_PATH}/index.db\")\n", - " .execute(f\"SELECT uuid, model from data ORDER BY RANDOM() LIMIT {LIMIT}\") # TODO: dataset may be unbalanced, fix\n", - " .fetchall()\n", - " )\n", + "def view_image(ds):\n", + " images, labels = next(iter(ds)) # extract 1 batch\n", "\n", - " # load uuids to images and pre-process them\n", - " for uuid, model in data:\n", - " img = tf.io.read_file(f\"{DATASET_PATH}/{uuid}.jpg\")\n", - " img = tf.image.decode_jpeg(img, channels=IMAGE_SIZE[2])\n", - " img = tf.image.convert_image_dtype(img, tf.float32)\n", - " img = tf.image.resize(img, RESIZED_SIZE_PIL[:-1])\n", + " plt.figure(figsize=(14, 8))\n", + " for i in range(9):\n", + " plt.subplot(3, 3, i + 1)\n", + " plt.title(CLASSES[labels[i]])\n", + " plt.imshow(images[i])\n", "\n", - " label = tf.convert_to_tensor(model, dtype=tf.uint8)\n", - "\n", - " yield img, label\n", - "\n", - "\n", - "def set_shapes(image, label):\n", - " image.set_shape(RESIZED_SIZE_PIL)\n", - " label.set_shape([])\n", - " return image, label\n", - "\n", - "\n", - "def cutout(image, label):\n", - " img = tfa.image.random_cutout(image, (6, 6), constant_values=1)\n", - " return (img, label)\n", - "\n", - "\n", - "def rotate(image, label):\n", - " img = tfa.image.rotate(image, tf.constant(np.pi))\n", - " return (img, label)\n" + " plt.tight_layout()\n", + " plt.show()" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "dataset = tf.data.Dataset.from_generator(generator=customGenerator, output_types=(tf.float32, tf.uint8))\n", + "def load_images_from_uuid(uuid, label):\n", + " img = tf.io.read_file(DATASET_PATH + \"/\" + uuid + \".jpg\") # format string doesn't work for some unholy reason -> lost +2 hours on that shit\n", + " img = tf.image.decode_jpeg(img, channels=IMAGE_SIZE[2])\n", + " img = tf.image.resize(img, RESIZED_SIZE_PIL[:-1])\n", + " img = tf.cast(img, \"uint8\") # required by albumentation\n", + " \n", + " return img, label\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "def split_dataset(ds, ds_size, train_split=0.7, val_split=0.15, test_split=0.15):\n", + " assert (train_split + test_split + val_split) == 1\n", + " \n", + " train_size = int(train_split * ds_size)\n", + " val_size = int(val_split * ds_size)\n", + " \n", + " train_ds = ds.take(train_size) \n", + " val_ds = ds.skip(train_size).take(val_size)\n", + " test_ds = ds.skip(train_size).skip(val_size)\n", + " \n", + " return train_ds, val_ds, test_ds" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "380870\n" + ] + } + ], + "source": [ + "# get the dataset using SqlDataset\n", + "dataset = tf.data.experimental.SqlDataset(\n", + " \"sqlite\", f\"{DATASET_PATH}/index.db\", \"SELECT uuid, model from data\", (tf.string, tf.uint8)\n", + ")\n", "\n", "# get dataset's length, using sqlite3 since the dataset built by tensorflow has an unknown cardinality\n", "(dataset_length,) = sqlite3.connect(f\"{DATASET_PATH}/index.db\").execute(\"SELECT count(uuid) from data\").fetchone()\n", - "dataset_length = min(dataset_length, LIMIT)\n", "\n", - "nb_batchs = dataset_length // BATCH_SIZE\n", - "train_size = int((1 - VALIDATION_SPLIT) * nb_batchs)\n", + "print(dataset_length)\n", "\n", - "# print(f\"\"\"\n", - "# dataset_length = {dataset_length}\n", - "# batch size = {BATCH_SIZE}\n", - "# number of batchs = {nb_batchs}\n", + "# shuffle the entire dataset, can't shuffle the sqlite query as it is not seedable\n", + "tf.random.set_seed(RANDOM_SEED)\n", + "np.random.seed(RANDOM_SEED)\n", + "dataset = dataset.shuffle(dataset_length)\n", "\n", - "# train_size = {train_size}\n", - "# validation_size = {nb_batchs - train_size}\n", - "# \"\"\")\n", + "# load images from uuids\n", + "dataset = dataset.map(load_images_from_uuid, num_parallel_calls=AUTOTUNE).prefetch(AUTOTUNE)\n", "\n", - "# pre-process a bit the dataset\n", - "dataset_batched = (\n", - " dataset.shuffle(SHUFFLE_SIZE) # randomize the dataset\n", - " .map(set_shapes) # fix bugged shapes\n", - " .batch(BATCH_SIZE) # batch data\n", - " # .map(cutout)\n", - " .prefetch(AUTOTUNE) # use prefetch to enhance performances\n", - ")\n", + "# split dataset into training, validation and testing\n", + "ds_train, ds_validation, ds_test = split_dataset(dataset, dataset_length)\n", "\n", - "# split the datasets\n", - "dataset_train = dataset_batched.take(train_size)\n", - "dataset_validate = dataset_batched.skip(train_size)\n" + "ds_validation = ds_validation.batch(BATCH_SIZE).prefetch(AUTOTUNE)\n", + "ds_test = ds_test.batch(BATCH_SIZE).prefetch(AUTOTUNE)\n" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "view_image(ds_train.batch(BATCH_SIZE))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/deepl/.env/lib/python3.8/site-packages/albumentations/augmentations/transforms.py:689: FutureWarning: This class has been deprecated. Please use CoarseDropout\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "transforms = A.Compose(\n", + " [\n", + " A.HorizontalFlip(p=0.5),\n", + " A.HueSaturationValue(hue_shift_limit=0.2, sat_shift_limit=0.2, val_shift_limit=0.2, p=0.5),\n", + " A.RandomBrightnessContrast(brightness_limit=(-0.1, 0.1), contrast_limit=(-0.1, 0.1), p=0.5),\n", + " A.Cutout(p=0.5),\n", + " ],\n", + " p=1,\n", + ")\n", + "\n", + "\n", + "def aug_fn(image):\n", + " tf.random.set_seed(RANDOM_SEED)\n", + " np.random.seed(RANDOM_SEED)\n", + " aug_img = transforms(image=image)[\"image\"]\n", + " return aug_img\n", + "\n", + "\n", + "def augment_train_dataset(img, label):\n", + " aug_img = tf.numpy_function(func=aug_fn, inp=[img], Tout=tf.uint8)\n", + " return aug_img, label\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "def set_shapes(image, label):\n", + " image.set_shape(RESIZED_SIZE_PIL)\n", + " label.set_shape([])\n", + " \n", + " return image, label\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -150,20 +229,19 @@ } ], "source": [ - "plt.figure(figsize=(14, 8))\n", + "dsa_train = (\n", + " ds_train.map(augment_train_dataset, num_parallel_calls=AUTOTUNE)\n", + " .map(set_shapes, num_parallel_calls=AUTOTUNE)\n", + " .batch(BATCH_SIZE, num_parallel_calls=AUTOTUNE)\n", + " .prefetch(AUTOTUNE)\n", + ")\n", "\n", - "for i, d in enumerate(dataset.take(9)):\n", - " plt.subplot(3, 3, i + 1)\n", - " plt.title(CLASSES[d[1]])\n", - " plt.imshow(d[0])\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" + "view_image(dsa_train)\n" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -174,19 +252,19 @@ "_________________________________________________________________\n", " Layer (type) Output Shape Param # \n", "=================================================================\n", - " conv2d_3 (Conv2D) (None, 98, 48, 32) 896 \n", + " conv2d_2 (Conv2D) (None, 48, 98, 32) 896 \n", " \n", - " max_pooling2d_3 (MaxPooling (None, 49, 24, 32) 0 \n", + " max_pooling2d_3 (MaxPooling (None, 24, 49, 32) 0 \n", " 2D) \n", " \n", - " conv2d_4 (Conv2D) (None, 47, 22, 64) 18496 \n", + " conv2d_3 (Conv2D) (None, 22, 47, 64) 18496 \n", " \n", - " max_pooling2d_4 (MaxPooling (None, 23, 11, 64) 0 \n", + " max_pooling2d_4 (MaxPooling (None, 11, 23, 64) 0 \n", " 2D) \n", " \n", - " conv2d_last (Conv2D) (None, 21, 9, 92) 53084 \n", + " conv2d_last (Conv2D) (None, 9, 21, 92) 53084 \n", " \n", - " max_pooling2d_5 (MaxPooling (None, 10, 4, 92) 0 \n", + " max_pooling2d_5 (MaxPooling (None, 4, 10, 92) 0 \n", " 2D) \n", " \n", " flatten_1 (Flatten) (None, 3680) 0 \n", @@ -207,7 +285,7 @@ "# build the model\n", "model = Sequential(\n", " [\n", - " InputLayer(input_shape=RESIZED_SIZE),\n", + " InputLayer(input_shape=RESIZED_SIZE_PIL),\n", " Conv2D(32, 3, activation=\"relu\"),\n", " MaxPooling2D(pool_size=(2, 2)),\n", " Conv2D(64, 3, activation=\"relu\"),\n", @@ -229,17 +307,104 @@ "metadata": {}, "outputs": [], "source": [ - "# train the model on the dataset\n", - "adam = optimizers.Adam(learning_rate=7e-6)\n", - "model.compile(optimizer=adam, loss=\"sparse_categorical_crossentropy\", metrics=[\"accuracy\"])\n", - "history = model.fit(dataset_train, validation_data=dataset_validate, epochs=EPOCHS, batch_size=BATCH_SIZE)\n" + "class LossHistory(Callback):\n", + " def on_train_begin(self, logs={}):\n", + " self.losses = []\n", + " self.val_losses = []\n", + " self.accs = []\n", + " self.val_accs = []\n", + "\n", + " def on_batch_end(self, batch, logs={}):\n", + " self.losses.append(logs.get('loss'))\n", + " self.accs.append(logs.get('accuracy'))\n", + " \n", + " def on_epoch_end(self, epoch, logs={}):\n", + " self.val_losses.append(logs.get('val_loss'))\n", + " self.val_accs.append(logs.get('val_accuracy'))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "8332/8332 [==============================] - 2631s 316ms/step - loss: 0.4036 - accuracy: 0.9283 - val_loss: 0.0019 - val_accuracy: 0.9995\n" + ] + } + ], + "source": [ + "# train the model on the dataset\n", + "history = LossHistory()\n", + "adam = optimizers.Adam(learning_rate=7e-6)\n", + "model.compile(optimizer=adam, loss=\"sparse_categorical_crossentropy\", metrics=[\"accuracy\"])\n", + "model.fit(dsa_train, validation_data=ds_validation, epochs=EPOCHS, callbacks=[history])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: models/full_aug_1e/assets\n" + ] + } + ], + "source": [ + "# Save the weights\n", + "model.save(f\"models/full_aug_{EPOCHS}e\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'loss': [0.4035719037055969],\n", + " 'accuracy': [0.9283145070075989],\n", + " 'val_loss': [0.0018953183898702264],\n", + " 'val_accuracy': [0.9994748830795288]}" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def plot_training_analysis():\n", " acc = history.history[\"accuracy\"]\n", @@ -267,14 +432,137 @@ "plot_training_analysis()\n" ] }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "# création des prédictions sur les données de test\n", + "X, Y = ds_test\n", + "prediction = model.predict(X)\n", + "prediction = np.argmax(prediction, axis=1)\n", + "res = tf.math.confusion_matrix(Y, prediction)\n", + "\n", + "# get pandas dataframe\n", + "df_cm = pd.DataFrame(res, CLASSES, CLASSES)\n", + "\n", + "# pretty_confusion_matrix\n", + "pp_matrix(df_cm, cmap=\"PuRd\")" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# Save the weights\n", - "model.save(f\"models/full_{EPOCHS}e\")" + "def make_heatmap(img_array, model, last_conv_layer_name, pred_index=None):\n", + " # First, we create a model that maps the input image to the activations\n", + " # of the last conv layer as well as the output predictions\n", + " grad_model = tf.keras.models.Model(\n", + " [model.inputs], [model.get_layer(last_conv_layer_name).output, model.output]\n", + " )\n", + "\n", + " # Then, we compute the gradient of the top predicted class for our input image\n", + " # with respect to the activations of the last conv layer\n", + " with tf.GradientTape() as tape:\n", + " last_conv_layer_output, preds = grad_model(img_array)\n", + " if pred_index is None:\n", + " pred_index = tf.argmax(preds[0])\n", + " class_channel = preds[:, pred_index]\n", + "\n", + " # This is the gradient of the output neuron (top predicted or chosen)\n", + " # with regard to the output feature map of the last conv layer\n", + " grads = tape.gradient(class_channel, last_conv_layer_output)\n", + "\n", + " # This is a vector where each entry is the mean intensity of the gradient\n", + " # over a specific feature map channel\n", + " pooled_grads = tf.reduce_mean(grads, axis=(0, 1, 2))\n", + "\n", + " # We multiply each channel in the feature map array\n", + " # by \"how important this channel is\" with regard to the top predicted class\n", + " # then sum all the channels to obtain the heatmap class activation\n", + " last_conv_layer_output = last_conv_layer_output[0]\n", + " heatmap = last_conv_layer_output @ pooled_grads[..., tf.newaxis]\n", + " heatmap = tf.squeeze(heatmap)\n", + "\n", + " # For visualization purpose, we will also normalize the heatmap between 0 & 1\n", + " heatmap = tf.maximum(heatmap, 0) / tf.math.reduce_max(heatmap)\n", + " \n", + " return heatmap.numpy()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def make_gradcam(img, heatmap, cam_path=\"cam.jpg\", alpha=0.004):\n", + "\n", + " # Rescale heatmap to a range 0-255\n", + " heatmap = np.uint8(255 * heatmap)\n", + "\n", + " # Use jet colormap to colorize heatmap\n", + " jet = plt.get_cmap(\"jet\")\n", + "\n", + " # Use RGB values of the colormap\n", + " jet_colors = jet(np.arange(256))[:, :3]\n", + " jet_heatmap = jet_colors[heatmap]\n", + "\n", + " # Create an image with RGB colorized heatmap\n", + " jet_heatmap = tf.keras.preprocessing.image.array_to_img(jet_heatmap)\n", + " jet_heatmap = jet_heatmap.resize((img.shape[1], img.shape[0]))\n", + " jet_heatmap = tf.keras.preprocessing.image.img_to_array(jet_heatmap)\n", + "\n", + " # Superimpose the heatmap on original image\n", + " superimposed_img = jet_heatmap * alpha + img\n", + " superimposed_img = tf.keras.preprocessing.image.array_to_img(superimposed_img)\n", + "\n", + " # Save the superimposed image\n", + " superimposed_img.save(cam_path)\n", + "\n", + " # Display Grad CAM\n", + " return superimposed_img\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "last_conv_layer_name = \"C2D_last\"\n", + "plt.figure(figsize=(15, 18))\n", + "\n", + "for i in range(10):\n", + "\n", + " img = x_test[i]\n", + "\n", + " X = np.zeros((1, RESIZED_SIZE[1], RESIZED_SIZE[0], RESIZED_SIZE[2]))\n", + " X[0] = np.asarray(img)\n", + "\n", + " # Print what the top predicted class is\n", + " preds = model.predict(X)\n", + " index = np.argmax(preds)\n", + "\n", + " plt.subplot(10, 5, 5*i+1)\n", + " plt.imshow(img)\n", + " plt.title(f\"prediction: {CLASSES[index]}\")\n", + "\n", + " for j in range(4):\n", + " # generate class activation heatmap\n", + " heatmap = make_heatmap(X, model, last_conv_layer_name, pred_index=j)\n", + " # generate gradmap\n", + " gradcam = make_gradcam(img, heatmap)\n", + " \n", + " plt.subplot(10, 5, 5*i+j+2)\n", + " plt.imshow(gradcam)\n", + " plt.title(f\"{CLASSES[j]} heatmap\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" ] } ], @@ -287,6 +575,18 @@ "language": "python", "name": ".env" }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + }, "orig_nbformat": 4 }, "nbformat": 4, diff --git a/src/notebook_train_rot.ipynb b/src/notebook_train_rot.ipynb index f3d2895..2dca8ae 100644 --- a/src/notebook_train_rot.ipynb +++ b/src/notebook_train_rot.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -28,9 +28,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/tmp/deepl/dataset_rot\n", + "['octane', 'werewolf', 'breakout', 'aftershock']\n" + ] + } + ], "source": [ "IMAGE_SIZE = (400, 150, 3)\n", "RESIZED_SIZE = (100, 50, 3)\n", @@ -40,7 +49,7 @@ "DATASET_PATH = os.path.abspath(DATASET_PATH)\n", "if not os.path.isdir(DATASET_PATH):\n", " !wget https://fainsil.users.inpt.fr/content/dataset_rot.zip\n", - " !unzip dataset_rot.zip\n", + " !unzip -qq dataset_rot.zip\n", " !rm dataset_rot.zip\n", "\n", "CLASSES = next(os.walk(DATASET_PATH))[1]\n", @@ -59,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -105,9 +114,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_1366491/2192415425.py:18: DeprecationWarning: ANTIALIAS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.\n", + " img = img.resize(RESIZED_SIZE[:-1], PIL.Image.ANTIALIAS)\n" + ] + } + ], "source": [ "x, y = load_data()\n", "x = x / 255\n", @@ -135,9 +153,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": "\n\n\n \n \n \n \n 2022-05-04T18:50:15.427783\n image/svg+xml\n \n \n Matplotlib v3.5.2, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "plt.figure(figsize=(14, 8))\n", "\n", @@ -163,9 +194,55 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " conv2d (Conv2D) (None, 48, 98, 32) 896 \n", + " \n", + " max_pooling2d (MaxPooling2D (None, 24, 49, 32) 0 \n", + " ) \n", + " \n", + " conv2d_1 (Conv2D) (None, 22, 47, 64) 18496 \n", + " \n", + " max_pooling2d_1 (MaxPooling (None, 11, 23, 64) 0 \n", + " 2D) \n", + " \n", + " C2D_last (Conv2D) (None, 9, 21, 92) 53084 \n", + " \n", + " max_pooling2d_2 (MaxPooling (None, 4, 10, 92) 0 \n", + " 2D) \n", + " \n", + " flatten (Flatten) (None, 3680) 0 \n", + " \n", + " dense (Dense) (None, 250) 920250 \n", + " \n", + " dense_1 (Dense) (None, 4) 1004 \n", + " \n", + "=================================================================\n", + "Total params: 993,730\n", + "Trainable params: 993,730\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-05-04 18:50:15.947149: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", + "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2022-05-04 18:50:16.557197: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1525] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1538 MB memory: -> device: 0, name: Quadro K620, pci bus id: 0000:03:00.0, compute capability: 5.0\n" + ] + } + ], "source": [ "REGULARIZATION_RATE = 0.0005\n", "\n", @@ -190,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -212,9 +289,143 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-05-04 18:50:18.202650: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8100\n", + "2022-05-04 18:50:18.485447: W tensorflow/stream_executor/gpu/asm_compiler.cc:111] *** WARNING *** You are using ptxas 10.1.243, which is older than 11.1. ptxas before 11.1 is known to miscompile XLA code, leading to incorrect results or invalid-address errors.\n", + "\n", + "You may not need to update to CUDA 11.1; cherry-picking the ptxas binary is often sufficient.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 5/88 [>.............................] - ETA: 3s - loss: 11.6374 - accuracy: 0.3000 WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0172s vs `on_train_batch_end` time: 0.0200s). Check your callbacks.\n", + "88/88 [==============================] - 7s 55ms/step - loss: 11.5202 - accuracy: 0.3686 - val_loss: 11.3857 - val_accuracy: 0.4850\n", + "Epoch 2/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 11.2567 - accuracy: 0.5375 - val_loss: 11.1284 - val_accuracy: 0.4967\n", + "Epoch 3/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 11.0005 - accuracy: 0.6129 - val_loss: 10.8759 - val_accuracy: 0.7317\n", + "Epoch 4/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 10.7490 - accuracy: 0.6914 - val_loss: 10.6255 - val_accuracy: 0.6033\n", + "Epoch 5/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 10.4972 - accuracy: 0.6489 - val_loss: 10.3748 - val_accuracy: 0.7067\n", + "Epoch 6/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 10.2448 - accuracy: 0.7043 - val_loss: 10.1258 - val_accuracy: 0.6917\n", + "Epoch 7/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 9.9922 - accuracy: 0.7568 - val_loss: 9.8757 - val_accuracy: 0.6850\n", + "Epoch 8/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 9.7408 - accuracy: 0.7600 - val_loss: 9.6281 - val_accuracy: 0.8300\n", + "Epoch 9/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 9.4916 - accuracy: 0.7686 - val_loss: 9.3809 - val_accuracy: 0.8117\n", + "Epoch 10/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 9.2482 - accuracy: 0.7957 - val_loss: 9.1408 - val_accuracy: 0.8367\n", + "Epoch 11/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 9.0092 - accuracy: 0.8086 - val_loss: 8.9075 - val_accuracy: 0.8317\n", + "Epoch 12/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 8.7783 - accuracy: 0.8343 - val_loss: 8.6857 - val_accuracy: 0.8383\n", + "Epoch 13/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 8.5546 - accuracy: 0.8450 - val_loss: 8.4683 - val_accuracy: 0.8567\n", + "Epoch 14/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 8.3402 - accuracy: 0.8614 - val_loss: 8.2592 - val_accuracy: 0.8533\n", + "Epoch 15/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 8.1421 - accuracy: 0.8596 - val_loss: 8.0668 - val_accuracy: 0.8650\n", + "Epoch 16/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 7.9455 - accuracy: 0.8736 - val_loss: 7.8731 - val_accuracy: 0.8800\n", + "Epoch 17/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 7.7591 - accuracy: 0.8846 - val_loss: 7.6908 - val_accuracy: 0.8817\n", + "Epoch 18/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 7.5785 - accuracy: 0.8982 - val_loss: 7.5204 - val_accuracy: 0.8933\n", + "Epoch 19/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 7.4093 - accuracy: 0.9043 - val_loss: 7.3485 - val_accuracy: 0.8917\n", + "Epoch 20/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 7.2440 - accuracy: 0.9089 - val_loss: 7.1875 - val_accuracy: 0.9117\n", + "Epoch 21/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 7.0834 - accuracy: 0.9171 - val_loss: 7.0296 - val_accuracy: 0.9217\n", + "Epoch 22/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 6.9327 - accuracy: 0.9275 - val_loss: 6.8869 - val_accuracy: 0.9217\n", + "Epoch 23/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 6.7854 - accuracy: 0.9343 - val_loss: 6.7413 - val_accuracy: 0.9317\n", + "Epoch 24/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 6.6425 - accuracy: 0.9375 - val_loss: 6.5951 - val_accuracy: 0.9283\n", + "Epoch 25/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 6.5047 - accuracy: 0.9450 - val_loss: 6.4613 - val_accuracy: 0.9400\n", + "Epoch 26/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 6.3722 - accuracy: 0.9450 - val_loss: 6.3307 - val_accuracy: 0.9450\n", + "Epoch 27/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 6.2424 - accuracy: 0.9475 - val_loss: 6.2020 - val_accuracy: 0.9383\n", + "Epoch 28/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 6.1162 - accuracy: 0.9500 - val_loss: 6.0778 - val_accuracy: 0.9417\n", + "Epoch 29/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 5.9943 - accuracy: 0.9500 - val_loss: 5.9563 - val_accuracy: 0.9383\n", + "Epoch 30/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 5.8769 - accuracy: 0.9525 - val_loss: 5.8403 - val_accuracy: 0.9500\n", + "Epoch 31/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 5.7634 - accuracy: 0.9539 - val_loss: 5.7328 - val_accuracy: 0.9433\n", + "Epoch 32/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 5.6504 - accuracy: 0.9568 - val_loss: 5.6202 - val_accuracy: 0.9517\n", + "Epoch 33/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 5.5433 - accuracy: 0.9586 - val_loss: 5.5095 - val_accuracy: 0.9517\n", + "Epoch 34/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 5.4375 - accuracy: 0.9618 - val_loss: 5.4132 - val_accuracy: 0.9500\n", + "Epoch 35/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 5.3364 - accuracy: 0.9636 - val_loss: 5.3066 - val_accuracy: 0.9567\n", + "Epoch 36/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 5.2371 - accuracy: 0.9686 - val_loss: 5.2061 - val_accuracy: 0.9583\n", + "Epoch 37/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 5.1406 - accuracy: 0.9689 - val_loss: 5.1153 - val_accuracy: 0.9533\n", + "Epoch 38/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 5.0476 - accuracy: 0.9693 - val_loss: 5.0195 - val_accuracy: 0.9617\n", + "Epoch 39/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.9565 - accuracy: 0.9736 - val_loss: 4.9292 - val_accuracy: 0.9633\n", + "Epoch 40/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.8680 - accuracy: 0.9761 - val_loss: 4.8421 - val_accuracy: 0.9633\n", + "Epoch 41/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.7829 - accuracy: 0.9764 - val_loss: 4.7594 - val_accuracy: 0.9633\n", + "Epoch 42/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.7000 - accuracy: 0.9789 - val_loss: 4.6755 - val_accuracy: 0.9717\n", + "Epoch 43/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 4.6199 - accuracy: 0.9811 - val_loss: 4.5958 - val_accuracy: 0.9700\n", + "Epoch 44/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.5406 - accuracy: 0.9825 - val_loss: 4.5184 - val_accuracy: 0.9717\n", + "Epoch 45/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.4662 - accuracy: 0.9821 - val_loss: 4.4477 - val_accuracy: 0.9717\n", + "Epoch 46/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 4.3933 - accuracy: 0.9850 - val_loss: 4.3723 - val_accuracy: 0.9733\n", + "Epoch 47/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 4.3221 - accuracy: 0.9843 - val_loss: 4.3016 - val_accuracy: 0.9767\n", + "Epoch 48/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 4.2543 - accuracy: 0.9854 - val_loss: 4.2336 - val_accuracy: 0.9800\n", + "Epoch 49/50\n", + "88/88 [==============================] - 4s 46ms/step - loss: 4.1870 - accuracy: 0.9864 - val_loss: 4.1683 - val_accuracy: 0.9767\n", + "Epoch 50/50\n", + "88/88 [==============================] - 4s 45ms/step - loss: 4.1222 - accuracy: 0.9868 - val_loss: 4.1052 - val_accuracy: 0.9800\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# train the model on the dataset\n", "history = LossHistory()\n", @@ -225,9 +436,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-05-04 18:53:41.554390: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:tensorflow:Assets written to: models/rot_50e/assets\n" + ] + } + ], "source": [ "# Save the weights\n", "model.save(f\"models/rot_{EPOCHS}e\")\n" @@ -235,9 +461,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": "\n\n\n \n \n \n \n 2022-05-04T18:53:42.764458\n image/svg+xml\n \n \n Matplotlib v3.5.2, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "def plot_training_analysis():\n", " acc = history.accs\n", @@ -266,9 +505,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": "\n\n\n \n \n \n \n 2022-05-04T18:53:43.728981\n image/svg+xml\n \n \n Matplotlib v3.5.2, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# création des prédictions sur les données de test\n", "prediction = model.predict(x_test)\n", @@ -284,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -326,7 +578,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -360,9 +612,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": "\n\n\n \n \n \n \n 2022-05-04T18:53:49.175707\n image/svg+xml\n \n \n Matplotlib v3.5.2, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "last_conv_layer_name = \"C2D_last\"\n", "plt.figure(figsize=(15, 18))\n", @@ -406,18 +671,6 @@ "language": "python", "name": ".env" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.10" - }, "orig_nbformat": 4 }, "nbformat": 4,