[MMD]··13min
ML Calculus Chapter 3: Gradient Descent and Neural Network Optimization
A deep dive into the principles of gradient descent and learning rate, perceptron regression and classification, backpropagation, and Newton's method with the Hessian — the core concepts of neural network optimization.
#Calculus#Machine Learning#Gradient Descent#Backpropagation#Neural Network