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Hands-On Neural Networks Cover

Hands-On Neural Networks

Learn how to build and train your first neural network model using Python

Paid access
|Jun 2019
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Table of Contents

  1. Getting started with Supervised Learning
  2. Neural Network fundamentals
  3. Convolutional Neural Networks
  4. Exploiting text embedding
  5. Working with RNN
  6. Reusing Neural Networks with Transfer Learning
  7. Working with Generative Algorithms
  8. Implementing Autoencoders
  9. Working with Deep Belief Networks
  10. Monte Carlo and Reinforcement Learning
  11. What
PDF ISBN: 978-1-78899-988-5
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 280