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Skip Connection

Direct connections bypassing one or more layers, helping gradient flow and enabling deeper networks.

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3 stops · basics first
  1. Machine Learning ✓ understood

    Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.

  2. Neural Network ✓ understood

    A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information through weighted connections.

  3. Layer ✓ understood

    A collection of neurons/operations that process data together, neural networks are composed of stacked layers.

  4. Skip Connection · you are here ✓ understood

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Neural Networks Residual Connection Skip connections that allow gradients to flow directly through a network, enabling training of very deep networks (ResNet). Vision & Multimodal ResNet Residual Network - a CNN architecture using skip connections to enable training of very deep networks (up to 1000+ layers). Training Vanishing Gradient A problem where gradients become extremely small during backpropagation, preventing deep networks from learning effectively. Vision & Multimodal U-Net A CNN architecture with encoder-decoder structure and skip connections, widely used for image segmentation tasks.