Features
MLP Network Configurator is an interactive, educational tool designed
to help users understand how artificial neural networks work.
It offers real-time training feedback, intuitive architecture visualization,
and even camera-based data collection — ideal for students, teachers,
and curious minds.
Key Features
– Data Handling: Load, normalize, and validate datasets (JSON format).
– Model Configuration: Define hidden layers, activation functions,
loss and optimizer types.
– Training: Visualize loss curves, predictions, and PCA-based class separation.
– Testing: Evaluate accuracy, error rates, and misclassified samples.
– Camera Dataset Builder: Capture and label images live via webcam.
– Model Insight: Analyze weight and bias evolution across epochs.
– Save & Load: Export models and configurations for reuse and sharing.