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Mastering TensorFlow 1.x

You're reading from   Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788292061
Length 474 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (21) Chapters Close

Preface 1. TensorFlow 101 2. High-Level Libraries for TensorFlow FREE CHAPTER 3. Keras 101 4. Classical Machine Learning with TensorFlow 5. Neural Networks and MLP with TensorFlow and Keras 6. RNN with TensorFlow and Keras 7. RNN for Time Series Data with TensorFlow and Keras 8. RNN for Text Data with TensorFlow and Keras 9. CNN with TensorFlow and Keras 10. Autoencoder with TensorFlow and Keras 11. TensorFlow Models in Production with TF Serving 12. Transfer Learning and Pre-Trained Models 13. Deep Reinforcement Learning 14. Generative Adversarial Networks 15. Distributed Models with TensorFlow Clusters 16. TensorFlow Models on Mobile and Embedded Platforms 17. TensorFlow and Keras in R 18. Debugging TensorFlow Models 19. Tensor Processing Units
20. Other Books You May Enjoy

TF Lite demo on iOS

In order to build the demo on iOS, you need Xcode 7.3 or later. Follow these steps to build the iOS demo apps:

  1. Check out the TensorFlow code in a tensorflow folder in your home directory.
  2. Build the TF Lite binary for iOS from the instructions at this link: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite.
  3. Navigate to the sample folder and download the pod:
$ cd ~/tensorflow/tensorflow/contrib/lite/examples/ios/camera
$ pod install

  1. Open the Xcode workspace:
$ open tflite_camera_example.xcworkspace
  1. Run the sample app in the device simulator.
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