ML Engine From Scratch: Zero-Framework Neural Network Visualizer

Hyperparameters Engine Config

Dataset Preset

Add Point Class (Canvas Click)

Hidden Layers Setup [4, 4]

Activation Function

Learning Rate (η) 0.10

Epochs 0

Loss (MSE) 0.0000

2D Decision Boundary Spatial Classification

Click canvas to insert custom data points

Network Architecture Neurons & Synapses

Click any neuron or synapse connection above to isolate and inspect its exact weight, bias, activation value, and backpropagation derivative (dL/dW) in the matrix inspector.

Step-by-Step Analytical Backpropagation Inspector Viewing: Full Network Overview

Export Standalone Vanilla JS Engine

// Vanilla JS Neural Network Code will generate here...