Welcome to Knet.jl's documentation!

Manual

• Setting up Knet
• Installation
• Tips for developers
• Using Amazon AWS
• Introduction to Knet
• Summary
• Philosophy
• Tutorial
• Benchmarks
• Under the hood
• Reference
• AutoGrad
• KnetArray
• File I/O
• Parameter initialization
• Activation functions
• Loss functions
• Convolution and Pooling
• Recurrent neural networks
• Batch Normalization
• Model optimization
• Hyperparameter optimization
• Utilities
• AutoGrad (advanced)
• Per-parameter optimization (advanced)
• Function Index

Textbook

• Backpropagation and SGD
• Softmax Classification
• Multilayer Perceptrons
• Convolutional Neural Networks
• Recurrent Neural Networks
• Reinforcement Learning
• Optimization
• Generalization