Neural Networks | E02: predictions (unfinished series)
Sebastian Lague
Jun 4, 2018 17:25
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In this episode we look at how neural networks can be represented with matrices, and create a simple feedforward network in python.
Note: at 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
Education
#python
#machine learning
#neural network
#AI
#artificial intelligence
#mnist
#classification
#numpy
#feedforward