Understanding Deep Learning
Simon J.D. Prince
Comprehensive 2026 MIT Press textbook covering neural networks, CNNs, transformers, GANs, diffusion models, and reinforcement learning with Python notebooks. CC BY-NC-ND licensed.
Loading the book...
Keep reading
-
Next in this topic
Neural Networks and Deep LearningAccessible introduction to neural networks and deep learning explaining backpropagation, convolutional networks, and regularization with interactive examples.
Verified PDF · Secure download - The Little Book of Deep Learning
Compact yet thorough overview of deep learning architectures, training techniques, and modern models designed to fit in a pocket.
Verified PDF · Secure download - Deep Learning in Neural Networks - An Overview
Seminal survey of deep learning history from the inventor of LSTM, covering 800+ references and the evolution of neural network architectures.
Verified PDF · Secure download - Unsupervised Feature Learning and Deep Learning - A Review and New Perspectives
Foundational review of representation learning and deep architectures by Turing Award winner Yoshua Bengio, covering autoencoders and generative models.
Verified PDF · Secure download - Classic machine learning algorithms
Practical guide to classic ML algorithms including linear models, SVMs, decision trees, and ensemble methods with scikit-learn implementations.
Verified PDF · Secure download
