In this video, I describe the basic structure of a neural net.

I begin with the inputs and follow them, as they move throughout the entire neural net until they reach the output. In the video, I define terms such as inputs, synapses, neurons, hidden layers, biases, and outputs.

In the following video, I will describe how exactly you can make a neural network more accurate.

Make sure to watch the previous video if you haven't already for a basic introduction to neural networks - https://www.youtube.com/edit?o=U&vide...

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