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Neural Network Projects with Python

You're reading from   Neural Network Projects with Python The ultimate guide to using Python to explore the true power of neural networks through six projects

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789138900
Length 308 pages
Edition 1st Edition
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Author (1):
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James Loy James Loy
Author Profile Icon James Loy
James Loy
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Table of Contents (10) Chapters Close

Preface 1. Machine Learning and Neural Networks 101 FREE CHAPTER 2. Predicting Diabetes with Multilayer Perceptrons 3. Predicting Taxi Fares with Deep Feedforward Networks 4. Cats Versus Dogs - Image Classification Using CNNs 5. Removing Noise from Images Using Autoencoders 6. Sentiment Analysis of Movie Reviews Using LSTM 7. Implementing a Facial Recognition System with Neural Networks 8. What's Next? 9. Other Books You May Enjoy

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ISBN: 978-1-78913-990-7

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  • Combine different GAN models and learn how to fine-tune them

Deep Learning with PyTorch
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ISBN: 978-1-78862-433-6

  • Use PyTorch for GPU-accelerated tensor computations
  • Build custom datasets and data loaders for images and test the models using torchvision and torchtext
  • Build an image classifier by implementing CNN architectures using PyTorch
  • Build systems that do text classification and language modeling using RNN, LSTM, and GRU...
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