Neural Networks & Deep Learning
Sigmoid
An activation function that squashes values to range (0,1), often used for binary classification and gates in LSTMs.
Related Concepts
- Activation Function: Explore how Activation Function relates to Sigmoid
- Logistic Function: Explore how Logistic Function relates to Sigmoid
- Binary Classification: Explore how Binary Classification relates to Sigmoid
Why It Matters
Understanding Sigmoid 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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neural-networks-deep-learning activation-function logistic-function binary-classification