rectified linear unit
A 'rectified linear unit' (ReLU) is a widely-used activation function in deep learning neural networks, known for its simplicity and effectiveness.
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Definition
C2Deep Learning
(technical, academic)An activation function in neural networks that outputs the input if it is positive, and zero otherwise.
Example
- The rectified linear unit is preferred for its simplicity and effectiveness in training deep neural networks.
C2Artificial Neural Networks
(technical, academic)A function that introduces non-linearity to a model, aiding in learning complex patterns while being computationally efficient.
Example
- By using a rectified linear unit, the neural network can learn more intricate relationships in the data.
Similar
Terms that have similar or relatively close meanings to "rectified linear unit":