Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 2

This video tutorial covers the computation of derivatives using Numpy, focusing on derivatives with respect to various parameters such as BF and S. The instructor demonstrates how to write functions for these computations and implements them in a Jupyter Notebook. The video concludes with a discussion on reshaping matrices for derivatives and previews the next topic on computing derivatives with respect to C.

What is the formula for computing the derivative with respect to BF as mentioned in the video?

Explain how the derivative with respect to S is computed based on the previous calculations.

Describe the process of writing a function to compute the derivative with respect to BF.

What is the significance of reshaping the derivative with respect to F in the context of the video?

What are the next steps mentioned in the video for computing the derivative with respect to C?