Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 1

The video tutorial covers the implementation of the backward pass in a neural network using Numpy. It begins with a brief recap of the forward pass and the sigmoid function. The instructor then explains how to compute the derivatives of the loss function with respect to the parameters using the chain rule. The tutorial includes a step-by-step guide to implementing a Python function for this purpose in a Jupyter notebook. The session concludes with debugging tips and a preview of the next steps in the series.

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