Intelligent Mobile Projects with TensorFlow
Tang, Jeff
Verkauft von Majestic Books, Hounslow, Vereinigtes Königreich
AbeBooks-Verkäufer seit 19. Januar 2007
Neu - Softcover
Zustand: New
Anzahl: 4 verfügbar
In den Warenkorb legenVerkauft von Majestic Books, Hounslow, Vereinigtes Königreich
AbeBooks-Verkäufer seit 19. Januar 2007
Zustand: New
Anzahl: 4 verfügbar
In den Warenkorb legenPrint on Demand pp. 404.
Bestandsnummer des Verkäufers 381362959
Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow
Key Features:
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:
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.
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