Understand how a basic perceptron works in the context of Neural Networks. This video is not an entire math approach to understanding neural networks, however it is meant to give an idea as to how to a neural network works. It covers forward propagation, back propagation, error, activation function, biases and their uses. But not the equations governing them and what their math forms are. This also talks about the meaning of data points and training.

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