This live stream is a continuation of neural network series. I attempt to discuss backpropagation, but it mostly goes haywire.

30:20 – Reading Random Numbers
36:22 – Backpropagation Part 1
1:06:56 – Backpropagation Part 2
1:40:25 – Learning with Gradient Descent

Schedule and topics:

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Links discussed in this video:
SFPC’s Learning to Teach 2018:
Michael Nielsen’s Book on Neural Networks:
To Support me in my half marathon for charity:
The Coding Train on Amazon:
Sigmoid function on Wikipedia:

Videos mentioned:
My Neural Networks series:
3Blue1Brown Neural Networks playlist:
3Blue1Brown’s Linear Algebra playlist:
Gradient Descent by 3Blue1Brown:
Gradient Descent by Siraj Raval:
My Video on Gradient Descent:

Source Code for the all Video Lessons:


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