Residual Connection
Skip connections that allow gradients to flow directly through a network, enabling training of very deep networks (ResNet).
Related Concepts
- ResNet: Explore how ResNet relates to Residual Connection
- Skip Connection: Explore how Skip Connection relates to Residual Connection
- Vanishing Gradient: Explore how Vanishing Gradient relates to Residual Connection
- Deep Networks: Explore how Deep Networks relates to Residual Connection
Why It Matters
Understanding Residual Connection is crucial for anyone working with neural networks & deep learning. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
ResNet
Residual Network - a CNN architecture using skip connections to enable training of very deep networks (up to 1000+ layers).
Skip Connection
Direct connections bypassing one or more layers, helping gradient flow and enabling deeper networks.
Vanishing Gradient
A problem where gradients become extremely small during backpropagation, preventing deep networks from learning effectively.