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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 Android

To build a TF Lite demo on Android, follow these steps:

  1. Install Android Studio. We installed Android Studio on Ubuntu 16.04 from the instructions at the following link: https://developer.android.com/studio/install.html
  2. Check out the TensorFlow repository, and apply the patch mentioned in the previous tip. Let's assume you checked out the code in the tensorflow folder in your home directory.
  1. Using Android Studio, open the Android project from the path ~/tensorflow/tensorflow/contrib/lite/java/demo. If it complains about a missing SDK or Gradle components, please install those components and sync Gradle.
  2. Build the project and run it on a virtual device with API > 21.
We received the following warnings, but the build succeeded. You may want to resolve the warnings if the build fails:

Warning:The Jack toolchain is deprecated and will not run. To...
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