Deep Learning (Adaptive Computation and Machine Learning Series, Paperback)

Description

Deep Learning is a foundational academic and professional reference authored by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, leading researchers in machine learning and artificial intelligence.

The book presents a thorough treatment of deep learning concepts, including linear algebra, probability, optimization, neural networks, convolutional networks, sequence modeling, and unsupervised learning. It also discusses practical methodologies, regularization techniques, and research directions relevant to modern AI systems.

Widely used in universities and research environments, this text is intended for graduate students, researchers, data scientists, and software engineers seeking a rigorous understanding of deep learning methods.

This publication is intended for educational and professional reference use.

📘 Book Details

• Title: Deep Learning

• Series: Adaptive Computation and Machine Learning

• Authors:

  • Ian Goodfellow

  • Yoshua Bengio

  • Aaron Courville

• Publisher: MIT Press

• Publication Year: 2016

• Language: English

• Format: Paperback

• Pages: ~800 pages

🔢 ISBN Information (Paperback)

• ISBN-13: 978-0-262-03561-3

• ISBN-10: 0262035618