September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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The Keras neural network model
Keras is a high-level neural network API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. With the use of Keras, we will be able to move from idea to result in the shortest possible time so you can spend more time analyzing results.
Keras owes its widespread use to its extreme ease of use. Keras follows best practices to reduce the workload on the user. It provides consistent and simple APIs, minimizes the number of user actions needed for common use cases, and provides clear and viable feedback in the event of a network error.
Another feature of Keras that has ensured its success is its modularity. A model is intended ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.