- Vectors
- Extra: tensors, Einstein notation
- Gradient descent
$y=x^2$ - Backpropagation
- Linear regression
- Nonlinearities
- Hidden layer
- Exercise with functions
- Logistic regression
- Logistic function
- Log-loss
- MLP and non-linear slits (with examples)
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Various gradient optimizers
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Convolutions
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ImageNet networks
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Residual networks
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LSTMs as evergreen architecure
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How to implement a YOLO (v3) object detector from scratch in PyTorch: Part 1
- Game of life (and variants) in PyTorch
- Guide to Restricted Boltzmann Machines Using PyTorch
https://github.com/trekhleb/homemade-machine-learning/blob/master/README.md