Activation and Optimization Educational Lab
Interactive learning environment for activation functions and optimization in deep learning
Tutorial
Notebook View
Step-by-step notebook experiments comparing activation functions (ReLU, sigmoid, tanh, and others) and optimizers, with training logs, loss curves, and gradient analysis
Simulation
Interactive Playground
Interactive demos covering activation function shapes, gradient flow through layers, optimizer paths, and the effect of learning rate on training dynamics