MLP Network Configurator is an interactive educational tool designed to help users understand how artificial neural networks work.
It provides real-time training feedback, intuitive architecture visualization, and even camera-based dataset collection — ideal for students, teachers, hobbyists, 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, PCA-based class separation.
- Testing: Accuracy calculation, error graphs, confusion matrix, misclassified sample montage.
- Camera Dataset Builder: Capture and label images live via webcam.
- Model Insight: Animated weight & bias evolution, interactive heatmaps.
- Save & Load: Export models and configurations for reuse and sharing.
💸 Donateware Model
MLP Network Configurator is distributed as donateware:
- The program is fully functional

Features

  • This project is closed-source software. Only external libraries are open-source.

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  • Nagyon jó szemlélteti a neurális hálozattokat, és alkalmas beléptetö rendszerek arcfelismerésére. 😊
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Additional Project Details

Operating Systems

Windows

User Interface

.NET/Mono

Registered

2025-12-20