What is Rectified Linear Unit?
A type of activation function used in neural networks
Stands for: ReLU
Rectified Linear Unit explained in plain English
Analogy
Think of ReLU like a light switch - when the input is positive, the switch is turned on and the output is the same as the input, but when the input is negative, the switch is turned off and the output is zero
Example
Image recognition models use ReLU to help them learn to recognize objects in images by introducing non-linearity into the model
How is Rectified Linear Unit used?
ReLU is commonly used in the hidden layers of neural networks to introduce non-linearity and help the model learn and generalize from the data
Common misconceptions about Rectified Linear Unit
Some people think that ReLU is the only activation function used in neural networks, but there are many other types of activation functions that can be used depending on the specific problem and model
History
ReLU was introduced in 2011 as a simpler alternative to other activation functions like sigmoid and tanh
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