Intro
This week we will look at some interesting usage of Convolutional Neural Networks (ConvNets or CNN) and will start learning about Reccurrent Neural Networks (RNN) in their different forms.
Resources
Weekly task
Run and discuss the notebooks in ba_218_comppx_h1801/samples/notebooks. We will do that part in class most likely.
├── week04-05-image-search.ipynb
├── week04-06-image-tsne.ipynb
├── week04-07-image-path.ipynb
...
├── week05-01-one-hot-encoding-of-words-or-characters.ipynb
├── week05-02-using-word-embeddings.ipynb
├── week05-03-understanding-recurrent-neural-networks.ipynb
├── week05-04-advanced-usage-of-recurrent-neural-networks.ipynb
└── week05-05-text-generation-with-lstm.ipynb
Create a small experiment using a generative RNN. Some ideas:
- Music player
- A platform game level
Going further
- RNN - Music - Great article, simply explained, on how to ‘compose’ music with an RNN
- RNN - Music - Another great article, a bit more technical
- RNN - Music - Magenta blog post
- RNN - Music - Magenta demos
- RNN - ML5
- RNN - ML5
- RNN - Text - adventures in narrated reality (part01)
- RNN - Text - adventures in narrated reality (part02)
- RNN - Text - generating stories
- RNN - Text - Sentence space
- RNN - Text - Word embedding library - Spacy