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Keras Succinctly

  • Category: Computer
  • Author: James McCaffrey
  • File type: HTML, PDF (105 pages), ePub, and Mobi (Kindle)

Read and download free eBook intituled Keras Succinctly in format HTML, PDF (105 pages), ePub, and Mobi (Kindle) created by James McCaffrey.

Keras is an open source neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit or Theano.[1] Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.

Neural networks are a powerful tool for developers, but harnessing them can be a challenge. Keras is designed specifically to make working with backend neural network tools easier.

The goal of this book is to introduce you Keras, the one of the most popular and powerful libraries for building neural networks in Python. You’ll learn how to build a convolutional neural network in Python!

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Keras Succinctly

READ  Neural Network Design

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