Since deep neural networks took off in 2012 with the winning ImageNet challenge of AlexNet, AI researchers have been applying deep learning technology, including pre-trained deep CNN models, to more and more problem domains. What can be more creative than creating art? One idea that has been proposed and implemented, called neural style transfer, allows you to take advantage of a pre-trained deep neural network model and to transfer the style of an image, or any Van Gogh or Monet masterpiece, for example, to another image such as your profile picture or a picture of your favorite dog, thereby creating an image that mixes the content of your picture and the style of a masterpiece. There's actually an iOS app called Prisma that won Best App of the Year in 2016 that does just that; in just a few seconds, it transforms your pictures...
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Intelligent Mobile Projects with TensorFlow
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Intelligent Mobile Projects with TensorFlow
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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
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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