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The Complete Mathematics of Neural Networks and Deep Learning
A complete guide to the mathematics behind neural networks and backpropagation. In this lecture, I aim to explain the mathematical phenomena, a combination of linear algebra and optimization, that underlie the most important algorithm in data science today: the feed forward neural network. Through a plethora of examples, geometrical intuitions ...
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