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Jon Krohn

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Jon Krohn

Backpropagation

Added on December 13, 2021 by Jon Krohn.

This week's video explains the relationship between Partial-Derivative Calculus and the Backpropagation ("Backprop") approach used widely in training Artificial Neural Networks, including Deep Learning networks.

We publish a new video from my "Calculus for Machine Learning" course to YouTube every Wednesday. Playlist is here.

More detail about my broader "ML Foundations" curriculum and all of the associated open-source code is available in GitHub here.

In Data Science, Calculus, ML Foundations, Professional Development, YouTube Tags machinelearning, datascience, math, calculus, deeplearning, neuralnetworks
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