Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization Solution

The video tutorial explains the basic concepts of axes, convex functions, and global minima. It describes how a convex function, like a parabola, has a single lowest point known as the global minima. This point is crucial for optimizing a model's weights, ensuring minimal loss and optimal performance.

How does the optimal point relate to the model's weights?

What is the significance of the loss being minimum at the optimal point?