Description: Deep Learning, Hardcover by Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron, ISBN 0262035618, ISBN-13 9780262035613, Like New Used, Free P&P in the UK An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensiv on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, th offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
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Book Title: Deep Learning
Number of Pages: 800 Pages
Language: English
Publication Name: Deep Learning
Publisher: MIT Press LTD
Publication Year: 2016
Subject: Computer Science
Item Height: 229 mm
Type: Textbook
Author: Aaron Courville, Ian Goodfellow, Yoshua Bengio
Series: Adaptive Computation and Machine Learning Series
Item Width: 178 mm
Format: Hardcover
