Deep Learning - Deep Neural Network for Beginners Using Python - Chain Rule for Backpropagation

The video tutorial introduces the concept of the chain rule in calculus, explaining its application in neural networks for error calculation. It covers the process of forward and backpropagation, emphasizing the importance of storing neuron values for updating weights. The tutorial outlines the course structure, focusing on simple neural networks initially, with plans to explore deeper networks in future lessons.

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