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Dying ReLU

As explained in Sutskever's List

Dying ReLU is a failure mode in which a rectified linear unit remains inactive and outputs zero for its inputs.

A dying ReLU is an inactive unit that outputs zero and never recovers. In AlexNet training, setting some layer biases to 1 helped activate ReLU units from the outset and mitigate this failure mode. section 2.5.4

AlexNet initialization

Weights began with a zero-mean Gaussian distribution and a small standard deviation of 0.01; selected biases were set to 1 rather than the typical 0 to encourage initial ReLU activation. section 2.5.4

How Sutskever's List covers it

How deep it goes
Defines the failure as units stuck outputting zero and identifies bias initialization as a mitigation.
Examples
Contrasts biases set to 1 with the typical 0 and specifies Gaussian weights with standard deviation 0.01.
What you can do after
Understand how selected positive biases can help prevent ReLU units from remaining inactive.
How it connects
Connects ReLU behavior with weight initialization and AlexNet training.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.