machine learning with tensorflow 2018版英文版下载

The book is divided into three parts: ■ Part 1 starts by exploring what machine learning is and highlighting TensorFlow’s crucial role. Chapter 1 introduces the terminology and theory of machine learning, and chapter 2 tells you everything you need to know to begin using TensorFlow. ■ Part 2 covers fundamental algorithms that have withstood the test of time. Chapters 3–6 discuss regression, classification, clustering, and hidden Markov models, respectively. You’ll find these algorithms everywhere in the field of machine learning. ■ Part 3 unveils the true power of TensorFlow: neural networks. Chapters 7–12 introduce you to autoencoders, reinforcement learning, convolutional neural networks, recurrent neural networks, sequence-to-sequence models, and utility, respectively.