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There have been some conventional advances since Fathom's release which lessen the need for things like explicit variable declarations in some of the models (e.g., convolutional networks).
The text was updated successfully, but these errors were encountered:
The tf.contrib.slim submodule has been integrated in TensorFlow after Fathom's release. The excellent range of example models now posted by the TensorFlow team demonstrates the use of these wrapper functions for vision models like AlexNet.
The following Fathom models can be refactored using the tf.contrib.slim wrapper functions:
Residual
VGG
AlexNet
DeepQ (CNN only)
svrama
changed the title
Simplify model code with library functions
Simplify CNN model code with library functions
Jun 29, 2017
There have been some conventional advances since Fathom's release which lessen the need for things like explicit variable declarations in some of the models (e.g., convolutional networks).
The text was updated successfully, but these errors were encountered: