Feedforward Explained - Neural Networks From Scratch Part 1
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YouTubeAdarsh Menon
Feedforward Explained - Neural Networks From Scratch Part 1
First I discuss how a neural network learns. Then I talk about some basics and notations used to denote the input, weights and biases. Finally I explain the feedforward equation and explain the general form of the equation, which can be extended to any number of samples as well. This is the first part of my series - Neural Networks from Scratch ...
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