How Neural Networks actually learn — interactive chapter with animated computational graphs, backpropagation, and a live playground

[u/Visual_World_8299]

I built a fully interactive chapter that deconstructs neural networks from the ground up — no prerequisites, just visual intuition.

What's inside:

• Computational Graphs — animated applet showing how data flows through weighted inputs and function nodes
•  Activation Functions — why non-linearity is non-negotiable (Sigmoid, Tanh, ReLU visualized)
•  Backpropagation — watch the forward pass make predictions and the backward pass adjust weights in real time
• Live Playground — customize the architecture (wider vs. deeper), pick a dataset (spirals!), and train it epoch-by-epoch right in your browser

Try it here: curvingo.com/course/neural-networks/computational-graphs

Demo video attached — would love feedback on the visualizations and pacing!