Gradient descent, how neural networks learn | Deep learning, chapter 2
To learn more, I highly recommend the book by Michael Nielsen
The book walks through the code behind the example in these videos, which you can find here:
Also check out Chris Olah’s blog:
His post on Neural networks and topology is particular beautiful, but honestly all of the stuff there is great.
And if you like that, you’ll *love* the publications at distill:
For more videos, Welch Labs also has some great series on machine learning:
“But I’ve already voraciously consumed Nielsen’s, Olah’s and Welch’s works”, I hear you say. Well well, look at you then. That being the case, I might recommend that you continue on with the book “Deep Learning” by Goodfellow, Bengio, and Courville.