/deep-learning.jl

Introduction to deep learning using Flux.jl

Primary LanguageJupyter Notebook

Deep Learning Demo

Introduction to deep learning using Flux.jl in JuliaLang.

The following examples are derived and modified from the model zoo of Flux.jl.

  1. Design layer
  2. Linear regression
  3. Autoencoder
  4. Multi-layer perceptron
  5. Convolutional neural network
  6. Convolutional neural network using CIFAR-10
  7. Recurrent neural network
  8. Attention mechanism
  9. Variational autoencoder
  10. β-VAE
  11. Using pre-trained model
  12. Transfer learning

Deep learning models