Commit graph

7 commits

Author SHA1 Message Date
milesial 8ed1e09b2a Better support for multiclass
Former-commit-id: 76bebf5f241f579fda7048f5e4a87ee9d49aa423
2019-10-30 19:54:57 +01:00
milesial 4c0f0a7a7b Global cleanup, better logging and CLI
Former-commit-id: ff1ac0936c118d129bc8a8014958948d3b3883be
2019-10-26 23:17:48 +02:00
milesial d3150e8923 Fix upsampling issues (maybe) (#38, #32)
Former-commit-id: 0f45521480d2de8a93407ce43a2a813eefd5d1f6
2018-11-19 11:51:46 +01:00
rht 81234be7da Move the sigmoid activation to the model itself
Former-commit-id: e3f8ca7b1ac7c5e9694637a81be260e9b48973b9
2018-11-10 23:11:52 +00:00
milesial 02e2314149 Migration to PyTorch 0.4, code cleanup
Former-commit-id: c981801ccc3b74047e94c76e67c4ff1f3097226c
2018-06-08 19:27:32 +02:00
milesial 90e988c10f Fixed bad use of ConvTranspose2D
Former-commit-id: 245b072a82f2e87a9032a1b87136a9930c008afc
2018-06-07 11:20:35 +03:00
milesial 7ea54febec Added CLI for predict, cleaned up code, updated README
Former-commit-id: 77555ccc0925a8fba796ce7e42843d95b6e9dce0
2017-11-30 06:45:19 +01:00