Neural Networks | E02: predictions (unfinished series)

In this episode we look at how neural networks can be represented with matrices, and create a simple feedforward network in python.

Note: at 2:31 the second bias vector should only have two rows, not three.

Code:
https://github.com/SebLague/Neural-Network-python

I owe a lot to this excellent online book on neural networks:
http://neuralnetworksanddeeplearning.com/

Learn more about weight initialization:
http://cs231n.github.io/neural-networks-2/#init
(note: numpy.random.randn and numpy.random.standard_normal are functionally equivalent, the latter just takes a tuple for the shape parameter).

Support the creation of more tutorials:
https://www.patreon.com/SebastianLague
https://www.paypal.me/SebastianLague

Видео Neural Networks | E02: predictions (unfinished series) канала Sebastian Lague