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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