This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, Tensor Flow 2, and Pandas.Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, Tensor Flow2 and Pandas
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语言 英语 ● 格式 EPUB ● 网页 300 ● ISBN 9781683924661 ● 出版者 Mercury Learning & Information ● 发布时间 2020 ● 下载 3 时 ● 货币 EUR ● ID 8179195 ● 复制保护 Adobe DRM
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