How Relu activation provides nonlinearity?

Nonlinear Activation Functions (Relu) is the mostly used activation functions in deep learning. This allows and makes it easy for the model to generalize or adapt with variety of data. In this video, I will cover details around how model use Relu activation output to build non linear decision boundary.

You can jupyter notebook @
https://github.com/kumarvc/deeplearni...

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