Build Neural Network from scratch initially using numpy only and afterwards use pytorch and libraries.
This course provides a strong fundanmental on what's going behind the black-box.
The assignments are designed such a way that we understand the internal mechanism of Neural Network.
We tweak with multiple layers, activation, loss, initializer, batching, clipping etc etc.
Probably my favorite course from my undergrad.
thinkGrow/cs424-neural-networks
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Run neural networks from scratch and afterwards using library.
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