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Hands-On Deep Learning Architectures with Python Cover

Hands-On Deep Learning Architectures with Python

Create deep neural networks to solve computational problems using TensorFlow and Keras

Paid access
|May 2019
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Table of Contents

  1. Getting Started with Deep Learning
  2. Deep Feedforward Networks
  3. Restricted Boltzmann Machines and Autoencoders
  4. CNN Architecture
  5. Mobile Neural Networks and CNNs
  6. Recurrent Neural Networks
  7. Generative Adversarial Networks
  8. New Trends of Deep Learning
PDF ISBN: 978-1-78899-050-9
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 316

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