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Machine Learning From Zero

Computational graphs

Scalar: the heart of computational graphs
Model: training neural networks
Building a neural network

How `Scalar` works

The forward pass
The backward pass (in theory)
The backward pass (in practice)
Optimizing with gradient descent

Tensors

Tensor: vectorized computational graphs
Building a vectorized neural network with tensors

How `Tensor` works

Vectorizing backpropagation (in theory)
Vectorizing backpropagation (in practice)

Machine learning

Work in progress

Binder

Repository
Open issue

.ipynb

Work in progress

Work in progress#

I’m focusing on putting together the neural network part first. Stay tuned!

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Vectorizing backpropagation (in practice)

By Tivadar Danka

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