AI
Deep Learning
3 resources
Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
The widely cited reference on deep learning: the mathematical background, deep feedforward networks, regularization and optimization, convolutional and recurrent networks, and research topics including generative models.
Deep LearningAdvancedMITHTMLNeural Networks and Deep Learning
Michael Nielsen
A hands-on introduction to neural networks, built around teaching a network to recognize handwritten digits. Derives backpropagation from first principles, then covers why deep networks are hard to train and the ideas that make deep learning work.
Deep LearningIntermediateCreative CommonsHTML
Dive into Deep Learning
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
An interactive deep learning textbook combining explanations, mathematics, and runnable code (PyTorch, NumPy, JAX, and TensorFlow). Covers linear and softmax regression, MLPs, CNNs, RNNs, attention and transformers, and more. Adopted at 500+ universities.
Deep LearningAdvancedCreative CommonsPDF · 43 MB