@@ -7,7 +7,7 @@ Welcome to bob.learn.pytorch's documentation!
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This module contains the implementation of different Generative Adversarial Networks (GAN)
used for face processing.
used for face processing (i.e. generating face images)
If you would like to have an idea on the basic principles of GAN, you should first read the
paper by Goodfellow et al.
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@@ -38,11 +38,12 @@ This package is basically organized as follows (some files are omitted for clari
+-- DCGANTrainer.py
``architectures`` contains files defining the different discriminator and generator.
``datasets`` contains files implementing the dataset as ``torch.utils.data.DataSet``, and some utility functions
``scripts`` contains the various scripts to perform the training.
``trainers`` contains files implementing the training procedure
+ ``architectures`` contains files defining the different discriminators and generators.
+ ``datasets`` contains files implementing the dataset as ``torch.utils.data.DataSet``, and some utility functions (wrapper around torch.transforms for instance)
+ ``scripts`` contains the various scripts to perform training.
+ ``trainers`` contains files implementing the different training procedure
In the user's guide you will find more detailed instructions on how to run the various examples.
