Ian Goodfellow Deep Learning Adaptive Computation Textbook
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Ian Goodfellow Deep Learning Adaptive Computation Textbook
Deep Learning (Adaptive Computation and Machine Learning Series) is a reference and deep learning textbook focused on deep learning, neural networks, and artificial intelligence technologies. Written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, this publication explores the theoretical foundations and concepts that support machine learning systems.
The artificial intelligence book examines principles related to machine learning, neural network design, optimization methods, and computational learning techniques. Content is organized to provide readers with a structured understanding of deep learning models and the mathematical concepts that support their development and application.
Readers can explore topics associated with deep neural networks, representation learning, convolutional networks, sequence modeling, and machine learning architectures. The publication also discusses methods used in artificial intelligence research, data-driven systems, and computational learning applications.
Suitable for students, researchers, educators, and technology professionals, this machine learning reference provides coverage of deep learning concepts used across artificial intelligence, data science, computer vision, and natural language processing fields.
Topics Covered
- Deep learning fundamentals
- Neural network architectures
- Machine learning principles
- Optimization algorithms
- Deep neural network training
- Representation learning
- Convolutional neural networks
- Sequence modeling concepts
- Artificial intelligence applications
- Computational learning methods
Product Details
- Author: Ian Goodfellow; Yoshua Bengio; Aaron Courville
- ISBN-13: 9780262035613
- ISBN-10: 0262035618
- Series: Adaptive Computation and Machine Learning
- Title: Deep Learning
- Language: English
- Category: Artificial Intelligence
- Subject: Deep Learning and Machine Learning
Product Type
Artificial Intelligence