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Deep Learning for Beginners Cover

Deep Learning for Beginners

A beginner's guide to getting up and running with deep learning from scratch using Python

Paid access
|Oct 2020
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Table of Contents

  1. Introduction to Machine Learning
  2. Setup and Introduction to Deep Learning Frameworks
  3. Preparing Data
  4. Learning from Data
  5. Training a Single Neuron
  6. Training Multiple Layers of Neurons
  7. Autoencoders
  8. Deep Autoencoders
  9. Variational Autoencoders
  10. Restricted Boltzmann Machines
  11. Deep and Wide Neural Networks
  12. Convolutional Neural Networks
  13. Recurrent Neural Networks
  14. Generative Adversarial Networks
  15. Final Remarks on The Future of Deep Learning
PDF ISBN: 978-1-83864-758-2
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 432