Highway network
term_id: highway_network
Category: basic_concepts
Definition
Highway Networks are designed to address the vanishing gradient problem in deep learning by incorporating adaptive gates that control information flow. Similar to LSTM cells, these gates allow the network to learn when to pass input directly to deeper layers or transform it. This mechanism enables the training of significantly deeper networks without degradation in performance, improving convergence speed and accuracy in tasks requiring complex feature extraction.
Summary
A deep neural network architecture that introduces gating mechanisms to facilitate gradient flow through very deep networks.
Key Concepts
- Gating Mechanism
- Vanishing Gradient
- Deep Learning
- Information Flow
Use Cases
- Deep neural networks
- Speech recognition
- Computer vision