But what is a neural network? | Deep learning chapter 1

This video explains the basics of neural networks, covering neurons, layers, and the underlying mathematics. At 0:00, the video introduces an example; at 1:07, a preview of the series; at 2:42, neurons are explained; at 3:35, layers are introduced; at 5:31, the purpose of layers is discussed; at 8:38, an edge detection example is shown; at 11:34, weights and biases are counted; at 12:30, learning is related; at 13:26, notation and linear algebra are covered; at 14:45, a correction is made regarding the final index on the bias vector; at 15:17, a recap is given; at 16:27, final words are spoken; at 17:03, ReLU vs Sigmoid is compared.