Artificial intelligence machine learning and deep learning

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Artificial intelligence machine learning and deep learning

O. Campesato - Personal Name;

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 logistics 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 thepretical discussion. In addition, this book containts separate appendicies for Keras, TensorFlow2, and Pandas.

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B20211227102 006.3 CAM a Perpustakaan BIG (006) Available

Detail Information

Series Title: -
Call Number: 006.3 CAM a
Publisher: Virginia : Mercury Learning and Informaton., 2020
Collation: xviii, 319 hlm. : illus. ; 23 cm.
Language: Inggris
ISBN/ISSN: 978-1-68392-467-8
Classification: 006.3
Content Type: text
Media Type: other
Carrier Type: unspecified
Edition: -
Subject(s): Kecerdasan Buatan
Specific Detail Info: -
Statement of Responsibility: -

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