April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Introducing Keras
Keras is a minimalist, high-level neural networks library, capable of running on top of TensorFlow. It was developed with a focus on enabling easy and fast prototyping and experimentation. Keras runs on Python 2.7 or 3.5, and can seamlessly execute on GPUs and CPUs given the underlying frameworks. It is released under the MIT license.
Keras was developed and maintained by François Chollet, a Google engineer, following these design principles:
- Modularity: A model is understood as a sequence or a graph of the standalone, fully configurable modules that can be plugged together with as few restrictions as possible. Neural layers, cost functions, optimizers, initialization schemes, and activation functions are all standalone ...
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