Book Image

Intelligent Mobile Projects with TensorFlow

By : Jeff Tang
Book Image

Intelligent Mobile Projects with TensorFlow

By: Jeff Tang

Overview of this book

As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
Table of Contents (14 chapters)

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TensorFlow 1.x Deep Learning Cookbook
Antonio Gulli, Amita Kapoor

ISBN: 978-1-78829-359-4

  • Install TensorFlow and use it for CPU and GPU operations
  • Implement DNNs and apply them to solve different AI-driven problems.
  • Leverage different data sets such as MNIST, CIFAR-10, and Youtube8m with TensorFlow and learn how to access and use them in your code.
  • Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box.
  • Use different regression techniques for prediction and classification problems
  • Build single and multilayer perceptrons in TensorFlow
  • Implement CNN and RNN in TensorFlow, and use it to solve real-world use cases.
  • Learn how restricted Boltzmann Machines can be used to recommend movies.
  • Understand...