ebenolson / Pydata2015
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Neural networks with Theano and Lasagne
Syllabus
- Theano basics
- Symbolic variables/tensors, expressions
- Functions, shared variables and updates
- Overview of Lasagne
- Layer classes and building a network
- Objectives, optimizers, and training
- Convolutional neural networks
- Image classification
- Fine-tuning a pretrained network
- Style transfer (“Neural Art”)
- Recurrent neural networks
- Language model (text generation)
- CNN + RNN (image captioning)
- Extending Lasagne
- Defining custom Layers
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