This book mainly expounds the principles of deep learning and reinforcement learning technology, which are currently hot technologies in machine intelligence. On this basis, the principle of how AlphaGo combines deep learning and reinforcement learning technology to defeat human Go masters is introduced. Next, the theory of deep learning is transformed into practice, and examples of how to make voice-activated intelligent hardware by mastering TensorFlow and Keras deep learning frameworks are given, and machine vision object detection cases are given to guide readers to learn to use deep learning technology step by step. The main feature of this book is practical operation, with practical and runnable cases to get started. This book can be used as a practical introductory guide for senior undergraduates who are interested in machine intelligence, and it is also suitable for those who are interested in machine intelligence.
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