Control & ModelingDiscipline: Machine Learning & AI
Neural Network Topology Visualizer
Interactive multi-layer perceptron showing forward propagation weights, ReLU activation nodes, and backprop gradient descent.
Instrument State:Live Analytical DSP Engine
NEURAL NETWORK LAYER & WEIGHT VISUALIZEREpochs: 10
TOPOLOGY (2 → 3 → 1)
X1
X2
⟹
H1
H2
H3
⟹
0.745
Output Prediction: 0.745
TRAINING LOSS CONVERGENCELoss: 0.07
Technical Instrument Specifications
LayersInput, 2 Hidden, Output
ActivationsReLU, Sigmoid, Softmax
Loss FunctionMean Squared Error
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