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Building Makemore - Building a WaveNet
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- 1 intro
- 2 starter code walkthrough
- 3 let’s fix the learning rate plot
- 4 pytorchifying our code: layers, containers, torch.nn, fun bugs
- 5 overview: WaveNet
- 6 dataset bump the context size to 8
- 7 re-running baseline code on block_size 8
- 8 implementing WaveNet
- 9 training the WaveNet: first pass
- 10 fixing batchnorm1d bug
- 11 re-training WaveNet with bug fix
- 12 scaling up our WaveNet
- 13 experimental harness
- 14 WaveNet but with “dilated causal convolutions”
- 15 torch.nn
- 16 the development process of building deep neural nets
- 17 going forward
- 18 improve on my loss! how far can we improve a WaveNet on this data?
