Welcome to Knet.jl's documentation!

Manual

• Setting up Knet
• Installation
• Tips for developers
• Using Amazon AWS
• Introduction to Knet
• Philosophy
• Tutorial
• Benchmarks
• Under the hood
• Contributing
• Examples
• LinReg
• Housing
• MNIST
• LeNet
• CharLM
• VGG
• ResNet
• Optimizers
• Hyperband
• Overfitting, underfitting, regularization, dropout
• Reference
• AutoGrad
• KnetArray
• Utilities
• Convolution
• Optimization methods
• Initialization
• AutoGrad (advanced)
• Function Index

Textbook

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