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DEEP LEARNING

CNNs

Interactive CNN visualizer: apply convolution kernels to images, watch feature maps emerge, compare max and avg pooling, and understand receptive fields from first principles.

ConvPoolingFeature MapsKernels
OPEN INTERACTIVE LAB ↗

What you'll explore

  • ✓Cnn visualization
  • ✓Convolution
  • ✓Feature maps
  • ✓Pooling layers
  • ✓Convolutional neural network
  • ✓Kernel visualization

About this lab

Interactive CNN visualizer: apply convolution kernels to images, watch feature maps emerge, compare max and avg pooling, and understand receptive fields from first principles. This simulation runs entirely in your browser — no installation, no account required, no data uploaded.

Part of the Deep Learning Labs track — 8 labs covering the full curriculum.

PLATFORM FEATURES
✓ Runs 100% in browser — no server, no installs
✓ Adjustable parameters with real-time output
✓ Privacy-first: zero data collection or uploads
✓ Blockchain-verifiable experiment logs on Polygon
✓ Free to use — open to everyone