Build, train, and visualize convolutional neural networks with an intuitive interface. Explore the inner workings of deep learning through interactive tools.
Design and train convolutional neural networks with a drag-and-drop interface. Experiment with different architectures, hyperparameters, and training configurations to build powerful image classification models.
🚀 Launch CNN BuilderVisualize and analyze the feature maps generated by your trained models. Gain insights into what your neural network has learned and how it processes images at different layers.
🔍 Launch VisualizerLearn about each layer type in detail. Understand how Conv2D, ReLU, Dropout, and other layers work, their parameters, and best practices for building effective neural networks.
📚 Layer GuideWatch your model learn in real-time with live accuracy and loss visualization during training.
Build neural network architectures with an intuitive drag-and-drop interface.
Comprehensive metrics and visualizations to analyze your model's performance.
Export your trained models for use in other applications or deployment.
Visualize feature maps and understand what your neural network is learning.
No installation required - everything runs directly in your web browser.