Neural Networks

Chapters

1. Neural-Network FoundationsScaffold
2. BackpropagationScaffold
3. Automatic DifferentiationScaffold
4. Deep-Learning OptimizationScaffold
5. Convolutional Neural NetworksScaffold
6. Sequence ModelsScaffold

Books

• Understanding Deep LearningSimon Prince
• Probabilistic Machine Learning: Advanced TopicsKevin Murphy
• Deep LearningIan Goodfellow, Yoshua Bengio, Aaron Courville
• Dive into Deep LearningAston Zhang, Zachary Lipton, Mu Li, Alexander Smola
• Computer Vision: Algorithms and ApplicationsRichard Szeliski
• Computer Vision: Models, Learning, and InferenceSimon Prince
• Computer Vision: A Modern ApproachDavid Forsyth, Jean Ponce
• Generative Deep LearningDavid Foster

Portfolio

No demos for this domain.

Writing

No published writing for this domain.