Book Content
chapters • 10h total length
1. Theano basics
2. Classify handwritten digits with a feedforward network
3. Encode word into vector
4. Generate Text with a Recurrent Neural Net
5. Analyze Sentiment with a Bidirectional LSTM
6. Locate with Spatial Transformer Networks
7. Classify Images with Residual Networks
8. Translate and explain with encoding-decoding networks
9. Select relevant inputs or memories with the mechanism of attention
10. Predict Times Sequences with Advanced RNN
11. Learning from the Environment with Reinforcement
12. Learn Features with Unsupervised Generative Networks
13. Extending Theano - What’s next?
