Neural Reasoning Engine

Deep learning inference with layer-by-layer activation visualization and forward pass tracing.

0/10 neurons fired

Neural Network Execution

Tokenize input100ms

Generate embeddings

WordPiece encoding800ms

Positional encoding400ms

Segment embedding300ms

Transformer layers

Self-attention L11200ms

Feed-forward L1600ms

Self-attention L21200ms

Feed-forward L2600ms

Classification head500ms

Softmax & predict200ms

Integration Code

import { createNeuralReasoner } from 'agent-tools-kit/cognitive-arch'

const reasoner = createNeuralReasoner({
  model: 'classifier',
  layers: [
    { type: 'embedding', dim: 128 },
    { type: 'transformer', heads: 8, layers: 2 },
    { type: 'output', classes: 3 },
  ],
})

// Run inference with activation tracking
const result = await reasoner.infer(input, {
  trackActivations: true,
  onLayerComplete: (layer, activations) => {
    console.log(`Layer ${layer} activated: ${activations.length} neurons`)
  },
})

console.log('Prediction:', result.prediction)
console.log('Confidence:', result.confidence)
console.log('Activations:', result.activations)