Train and test a 3-layer network with handwritten digits. Use embedded MNIST data or capture custom images via camera or finger input. View training progress and adjust network parameters. Export model weights and compare accuracy metrics.
Visualize and reconstruct images with Fourier Transform
Converts images to grayscale for analysis. Automatically resizes images to 256x256. Removes mean values for normalization. Visualizes Fourier transform in real-time. Decomposes and reconstructs images from frequency components.
Teaches of multi-digit numbers with step-by-step guidance. Tracks student progress and identifies areas needing practice. Provides visual and auditory encouragement. Allows parents and teachers to view progress and focus on specific skills.
