Neural Network Visualization

Network Statistics
Epoch: 0
Number of complete passes through the training dataset
Accuracy: 0%
Percentage of correct predictions on the training data
Loss: 0.000
Error measurement indicating how far predictions are from actual values
Convergence: 0%
Rate at which the network is learning
Stability: 0%
Training stability based on learning rate
Capacity: 0%
Percentage of theoretical maximum performance achieved
Training Progress
Performance Analysis
Training Speed
Model Complexity
Optimization Status
Network Architecture
Selected Neuron
No neuron selected
Click on any neuron to see its details
Total Parameters 0
Total number of trainable parameters
Memory Usage 0 MB
Estimated memory usage of the network
Compute Load Low
Relative computational complexity
Network Controls
Advanced Settings

Interactive Visualization

Explore the neural network structure in both 2D and 3D views. Click and drag to rotate, scroll to zoom.

Real-time Training

Watch the network learn and adapt in real-time. Monitor accuracy, loss, and other key metrics during training.

Customizable Architecture

Adjust network parameters like layers, neurons, and learning rate to see how they affect training performance.