Back-propagation is fundamental to deep learning. Hinton (the inventor) recently said we should “throw it all away and start over”. What should we do? I’ll describe how back-propagation works, how its used in deep learning, then give 7 interesting research directions that could overtake back-propagation in the near term.

Code for this video:

Please Subscribe! And like. And comment.

Follow me:

More learning resources:

[N] Hinton says we should scrap back propagation and invent new methods from MachineLearning

A Step by Step Backpropagation Example

Join us in the Wizards Slack channel:

And please support me on Patreon:
Follow me:
Facebook: Instagram: Instagram: