Implementing Common Deep Learning Functions with Python's Numpy

Your notes are very detailed and cover multiple important concepts and techniques in deep learning, including activation functions, loss functions, etc. They truly help beginners understand and master these basic knowledge. ### 1. Activation Functions You described several common activation functions (Sigmoid, tanh, ReLU), their characteristics, and provided mathematical formulas and Python code implementations. This is a great starting point!