What is backpropagation really doing? Deep learning - Part 3 of 4

The video provides an intuitive walkthrough of neural networks, focusing on backpropagation and gradient descent. It explains the structure of neural networks, the role of weights and biases, and how the cost function is minimized. The video also introduces stochastic gradient descent for computational efficiency and emphasizes the importance of training data. The next video will delve into the calculus behind these concepts.

What new insight or understanding did you gain from this video?