Interactive simulation of neural networks, machine learning algorithms, and AI concepts. Visualize how AI models learn and make decisions in real-time.
Neural Network Visualization
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0.3
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Control Panel
Simulation Metrics
Epochs Completed:0
Current Loss:0.000
Accuracy:0.0%
Data Points:50
Active Neurons:9
Training Progress: 0%
Active Algorithm Info
Neural Network with 3 layers (input: 3 neurons, hidden: 3 neurons, output: 3 neurons).
Using backpropagation and gradient descent for optimization.
AI Models in Simulation
Neural Network
A multi-layer perceptron with backpropagation. Visualizes forward and backward passes with adjustable layers and neurons.
Currently Active
K-Means Clustering
Unsupervised learning algorithm that partitions data into K distinct clusters based on feature similarity.
Inactive
Linear Regression
Models the relationship between a dependent variable and one or more independent variables using a linear approach.
Inactive
Decision Boundary
Visualizes how classification algorithms separate different classes in the feature space.