Train complicated nn models with tf.eager (better with TF2 symbolic support)
问题 Is there (more or less) simple way to write a complicated NN model so it will be trainable in the eager mode? Are there examples of a such code? For example, I want to use the InceptionResnetV2 . I have the code created with tf.contrib.slim . According to this link, https://github.com/tensorflow/tensorflow/issues/16182 , slim is deprecated and I need to use Keras . And I really can't use a slim code for training with eager because I can't take the list of variables and apply gradients (ok, I