According to Wikipedia, "The Raspberry Pi is a series of small single-board computers developed in the United Kingdom by the Raspberry Pi Foundation to promote the teaching of basic computer science in schools and in developing countries." The official site of Raspberry Pi (https://www.raspberrypi.org) describes it as "a small and affordable computer that you can use to learn programming." If you have never heard of or used Raspberry Pi before, just go its website and chances are you'll quickly fall in love with the cool little thing. Little yet powerful—in fact, developers of TensorFlow made TensorFlow available on Raspberry Pi from early versions around mid-2016, so we can run complicated TensorFlow models on the tiny computer that you can buy for about $35. This is probably beyond "the teaching...
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Book Overview & Buying
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Table Of Contents
Intelligent Mobile Projects with TensorFlow
By :
Intelligent Mobile Projects with TensorFlow
By:
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)
Preface
Free Chapter
Getting Started with Mobile TensorFlow
Classifying Images with Transfer Learning
Detecting Objects and Their Locations
Transforming Pictures with Amazing Art Styles
Understanding Simple Speech Commands
Describing Images in Natural Language
Recognizing Drawing with CNN and LSTM
Predicting Stock Price with RNN
Generating and Enhancing Images with GAN
Building an AlphaZero-like Mobile Game App
Using TensorFlow Lite and Core ML on Mobile
Developing TensorFlow Apps on Raspberry Pi
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