Neural Network Learning Simulator

Neural Network Learning Simulator

Choose a Pattern to Learn:

Input Layer

Click pixels to draw

Hidden Layer

H1

Feature Detector

Output Layer

OUT
Target Output: 0.5

Error Function

0.50

Goal: Get this as close to 0.00 as possible!

Input → Hidden Weights

Hidden Layer

0.0
1.0

Output Layer

0.0

How it works:

  • Weights determine how much each input affects the next layer
  • Biases shift the activation threshold of neurons
  • Error measures how far your output is from the target
  • Try to minimize the error by adjusting weights and biases!