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Hands-On Convolutional Neural Networks with TensorFlow Cover

Hands-On Convolutional Neural Networks with TensorFlow

Solve computer vision problems with modeling in TensorFlow and Python

Paid access
|Sep 2018

Table of Contents

  1. Setup and introduction to TensorFlow
  2. Deep Learning and Convolutional Neural Networks
  3. Image Classification in Tensorflow
  4. Object Detection and Segmentation
  5. VGG, Inception Modules, Residuals, and MobileNets
  6. Autoencoders, Variational Autoencoders, and Generative Adversarial Networks
  7. Transfer Learning
  8. Machine Learning Best Practices and Troubleshooting
  9. Training at Scale
PDF ISBN: 978-1-78913-282-3
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2018
Language: English
Pages: 272

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