Python for Deep Learning - Build Neural Networks in Python - What is Gradient Descent?

The video tutorial explains how networks can learn by themselves using the gradient descent algorithm. It covers the process of adjusting weights to minimize a cost function, using calculus to iteratively refine parameters. The tutorial illustrates the concept with a graph, showing how different iterations affect the cost function. It also explains the formula used in gradient descent and how the step size is determined by the gradient's slope, ultimately leading to the minimum value.

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