Neural Networks & Deep Learning
Pooling
A down-sampling operation in CNNs that reduces spatial dimensions while retaining important features (max pooling, average pooling).
Related Concepts
- CNN: Explore how CNN relates to Pooling
- Max Pooling: Explore how Max Pooling relates to Pooling
- Down-sampling: Explore how Down-sampling relates to Pooling
- Feature Map: Explore how Feature Map relates to Pooling
Why It Matters
Understanding Pooling 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.
Tags
neural-networks-deep-learning cnn max-pooling down-sampling