Understanding Deep Learning
By Simon J. D. Prince
The book explains not only how deep learning methods work, but why they work, helping readers reason about architectures, optimization, and generalization without requiring advanced mathematics.
Product Details
- Title: Understanding Deep Learning
- Author: Simon J. D. Prince
- Publisher: MIT Press
- ISBN-13: 9780262048644
- ISBN-10: 0262048647
- Format: Paperback
- Availability: In Stock
- Price: $59.99 (Free Shipping)
Topics Covered
- Foundations of Neural Networks
- Optimization and Training Dynamics
- Convolutional Networks and Vision Models
- Transformers and Attention Mechanisms
- Autoencoders and Generative Models
- Regularization and Generalization
- Probabilistic Models and Uncertainty
- Deep Learning Applications Across Domains
Key Features
- Clear mathematical foundations explained step by step
- Modern coverage including transformers, CNNs, and generative models
- Strong emphasis on intuition and visual understanding
- Focus on why methods work, not just implementation details
- Aligned with current research and real-world AI practice
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What This Book Provides
Understanding Deep Learning is one of the most comprehensive and accessible
introductions to modern deep learning available today. Published by MIT Press,
this textbook combines conceptual clarity, mathematical rigor, and practical intuition,
making it ideal for building a strong foundation in artificial intelligence.
Who Should Use This Book?
- Students in computer science, data science, and engineering
- Researchers entering machine learning or artificial intelligence
- Machine learning practitioners and applied scientists
- Software engineers transitioning into AI-focused roles
- Instructors designing deep learning courses
Why Buy from BooksGoat?
- Best market pricing
- Free worldwide shipping
- Bulk and wholesale discounts
- Secure, tracked delivery
FAQs
- Should I read "Understanding Deep Learning" by Prince? Yes — if you want a comprehensive yet accessible foundation in deep learning concepts, Understanding Deep Learning by Simon J. D. Prince is worth reading.
- Favorite Deep Learning Textbook for teaching undergrads? Understanding Deep Learning by Simon Prince belongs at the top of this list.
- How Do I Start Learning Deep Learning?? Start deep learning by learning Python and basic linear algebra, then study neural network fundamentals using a structured book or course and practice with simple models.
- Good sources to learn deep learning? Good sources to learn deep learning include Understanding Deep Learning by Simon Prince, Andrew Ng’s courses, and hands-on practice with frameworks like PyTorch or TensorFlow.
A must-have reference for mastering modern artificial intelligence.
Order today from BooksGoat and build a deep, intuitive understanding of AI.