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I also don't quite understand how Keras is integrated, it looks like a somewhat outdated copy/paste of files from the Keras repo.
by olalonde 9y ago
I also don't quite understand how Keras is integrated, it looks like a somewhat outdated copy/paste of files from the Keras repo.
- onlydnaq 9y agoThe only difference I’ve seen is a function that converts Keras models into TensorFlow estimators.
- fchollet 9y agoTo clarify: `tf.keras` is an implementation of the entire Keras API written from the ground-up in pure TensorFlow. The first benefit of that is a greater level of blending between non-Keras-TF workflows and TF-Keras workflows: for instance, layers from `tf.layers` and `tf.keras` are interchangeable in all use cases. Additionally, this enables us to add TensorFlow-specific features that would be difficult to add to the multi-backend version of Keras, and to do performance optimizations that would otherwise be impossible. Such features include support for Eager mode (dynamic graphs), support for TensorFlow Estimators, which enables distributed training and training on TPUs, and more to come.
- mark_l_watson 9y agoThanks for clarifying that. BTW, I love your new book. I bought the MEAP last month and I really enjoyed it. Looking forward to the final version.
- anentropic 9y agoWhat is the book? It sounds like something I might want to read!
- anentropic 9y agoI believe it must be https://www.manning.com/books/deep-learning-with-python https://www.manning.com/books/deep-learning-with-python