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1 - Theano Basics
2 - Lasagne Basics
3 - Convolutional Networks
4 - Recurrent Networks
5 - Extending Lasagne

Neural networks with Theano and Lasagne


  1. Theano basics
  • Symbolic variables/tensors, expressions
  • Functions, shared variables and updates
  1. Overview of Lasagne
  • Layer classes and building a network
  • Objectives, optimizers, and training
  1. Convolutional neural networks
  • Image classification
  • Fine-tuning a pretrained network
  • Style transfer (“Neural Art”)
  1. Recurrent neural networks
  • Language model (text generation)
  • CNN + RNN (image captioning)
  1. Extending Lasagne
  • Defining custom Layers