Interactive Lab: The Neural Forge

Neural Forge

Single Perceptron Simulator

System Online

Parameter Controls

Input (x₁)1.50

Weight (w₁)0.80

Input (x₂)-0.50

Weight (w₂)-1.20

Bias (b)0.50

Forward Pass Telemetry

// Calculate the raw pre-activation value (z) using weights and biases

z = (1.50 × 0.80)+(-0.50 × -1.20)+0.50

z = 2.30

// Run z through the activation function to determine the neuron's final output

output = RELU(2.30)

Neuron Output

2.30

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8. Deep Learning

9. Computer Vision

sandbox.py

Python 3

Python 31 line

UTF-8Spaces: 4

OUTPUT

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