What is relu layer| what is activation function| how to implement relu layer in MATLAB.

A&M Research Itech India
A&M Research Itech India
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This video is all about how to design the relu layer in the MATLAB.
The Relu layer is used to make the decision true or false and propagate the answer to the next layer or to the output layer.

This is all about how to implement relu in Matlab.
The Relu layer is the activation function and relu is the non-linear activation function.
In next video shall discuss about the other non-linear activation function and linear activation function.
The Relu layer is used extensively in the image processing applications and they are most commonly used activation function for AlexNet, CNN.

The Alexnet is fully configurable network based on the applications. The MATLAB is taken to implement the RELU layer.

The deeplearning, machine learning can be the reason for 4th industrial revolution in the future days such as driverless cars reduces the accidents, traffic jams, can replace humans for precise operations and still more.


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