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Deep Learning: Foundations of Adaptive Computation and Machine Learning
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Deep Learning (Adaptive Computation and Machine Learning Series) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is an English-language computer...
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Deep Learning: Foundations of Adaptive Computation and Machine Learning
Tk 53.95
Deep Learning (Adaptive Computation and Machine Learning Series) by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is an English-language computer science and artificial intelligence textbook published by MIT Press.
Widely regarded as the definitive textbook on the subject, this comprehensive volume presents both the mathematical foundations and practical concepts of modern artificial intelligence. The text covers applied mathematics and machine learning basics, including linear algebra, probability theory, numerical computation, and fundamental machine learning principles.
The book explores deep networks in research and industry, detailing deep feedforward networks, regularization, optimization for training deep models, convolutional networks (CNNs), sequence modeling (RNNs), representation learning, autoencoders, and generative adversarial networks (GANs).
Suitable for university students, AI researchers, software engineers, data scientists, and technology professionals, this foundational text serves as an essential manual for understanding the mechanics of deep learning.
Topics Covered
- Mathematical foundations: Linear algebra, probability, information theory, and numerical computation
- Fundamental machine learning concepts and optimization algorithms
- Deep feedforward networks, regularization, and training methodologies
- Convolutional Neural Networks (CNNs) and Sequence Modeling (RNNs)
- Autoencoders, representation learning, and deep generative models
- Frontiers in deep learning research and practical AI applications
Product Details
- Author: Ian Goodfellow; Yoshua Bengio; Aaron Courville
- Publisher: MIT Press
- Series: Adaptive Computation and Machine Learning Series
- Title: Deep Learning
- Format: Hardcover
- ISBN-13: 9780262035613
- ISBN-10: 0262035618
- Category: Computer Science / Artificial Intelligence
- Subject: Deep Learning and Machine Learning
- Language: English
Product Type
Computer Science & AI Technical Book