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Add tensorboard.dev link in the README

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@ -79,10 +79,12 @@ By default, the `scale` is 0.5, so if you wish to obtain better results (but use
The input images and target masks should be in the `data/imgs` and `data/masks` folders respectively.
## Tensorboard
You can visualize in real time the train and test losses, along with the model predictions with tensorboard:
You can visualize in real time the train and test losses, the weights and gradients, along with the model predictions with tensorboard:
`tensorboard --logdir=runs`
You can find a reference training run with the Caravana dataset on [TensorBoard.dev](https://tensorboard.dev/experiment/1m1Ql50MSJixCbG1m9EcDQ/#scalars&_smoothingWeight=0.6) (only scalars are shown currently).
## Notes on memory
The model has be trained from scratch on a GTX970M 3GB.