Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Tang, Jeff

ISBN 10: 1788834542 / ISBN 13: 9781788834544

Verlag: Packt Publishing, 2018

Beschreibung

This item is in overall good condition. Covers and dust jackets are intact but may have minor wear including slight curls or bends to corners as well as cosmetic blemishes including stickers. Pages are intact but may have minor highlighting/ writing. Binding is intact; however, spine may have slight wear overall. Digital codes may not be included and have not been tested to be redeemable and/or active. Minor shelf wear overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you!

Bestandsnummer des Verkäufers 466U1G001CH7

Bibliografische Details

• Titel: Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi
• Verlag: Packt Publishing
• Veröffentlichungsdatum: 2018
• Sprache: Englisch
• ISBN-10: 1788834542
• ISBN-13: 9781788834544
• Bindung: Softcover
• Zustand: Good

Über diesen Titel

Inhaltsangabe

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features:

• Build TensorFlow-powered AI applications for mobile and embedded devices
• Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
• Get practical insights and exclusive working code not available in the TensorFlow documentation

Book Description:

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.

What You Will Learn:

• Classify images with transfer learning
• Detect objects and their locations
• Transform pictures with amazing art styles
• Understand simple speech commands
• Describe images in natural language
• Recognize drawing with Convolutional Neural Network and Long Short-Term Memory
• Predict stock price with Recurrent Neural Network in TensorFlow and Keras
• Generate and enhance images with generative adversarial networks
• Build AlphaZero-like mobile game app in TensorFlow and Keras
• Use TensorFlow Lite and Core ML on mobile
• Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn

Who this book is for:

If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

Über die Autorin bzw. den Autor

Jeff Tang fell in love with classical AI more than two decades ago. After his MS in CS, he worked on Machine Translation for 2 years and then, to survive the long AI winter, he worked on enterprise apps, voice apps, web apps, and mobile apps at startups, AOL, Baidu, and Qualcomm. He developed a top-selling iOS app with millions of downloads and was recognized by Google as a Top Android Market Developer. He reconnected with modern AI in 2015 and knew that AI will be his passion and commitment for the next two decades. One of his favorite topics is to make AI available anytime anywhere and hence the book.