Have you ever wondered what the math behind neural networks looks like? What gives them such incredible power? We're going to cover 4 different neural networks in this video to develop an intuition around their basic principles (2 feedforward networks, 1 recurrent network, and a self-organizing map). Prepare yourself, deep learning is coming.
Code for this video (with coding challenge):
https://github.com/llSourcell/neural_...
Hammad's winning code:
https://github.com/hammadshaikhha/Mat...
Ong's runner-up code:
https://github.com/jrios6/Math-of-Int...
More learning resources:
• Build a Neural Net in 4 Minutes
http://www.ai-junkie.com/ann/som/som1...
http://iamtrask.github.io/2015/07/12/...
https://iamtrask.github.io/2015/11/15...
http://karpathy.github.io/2015/05/21/...
• How to Make a Prediction - Intro to D...
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