Python for Deep Learning - Build Neural Networks in Python - Minimizing the Cost Function Using Backpropagation

The video tutorial explains the concept of predicted and actual values in a model, highlighting the importance of minimizing the error or cost function for accuracy. It introduces backpropagation as a key algorithm for adjusting weights in neural networks to enhance output accuracy. The tutorial concludes with a brief transition to the next lecture.

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