Computer vision and multimodal learning · MLD-1028
Residual network
A neural architecture organized around blocks with shortcut connections that add inputs to transformed representations.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Train a deep image classifier.
Original caveat
Residual connections are not exclusive to the ResNet family.
Context and aliases
Level: Intermediate. Stages: Architecture · Training · Inference.
Tags: DL · Vision · Multimodal.
Aliases: ResNet.
Related concepts
Concepts linking here
Original references
- Learning Transferable Visual Models From Natural Language Supervision ↗ · Consulted
- Deep Learning: online textbook ↗ · Consulted
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗