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Do Artificial Neural Network with non-linear activation only in the output layer follows linearity?

A non-linear layer is a matrix multiplication followed by an activation function. A linear layer is just a matrix multiplication. You have a matrix multiplication, then another matrix multiplication, ...
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Do Artificial Neural Network with non-linear activation only in the output layer follows linearity?

If you have a sigmoid activation in your output layer, and linearities before, you can interpret it as a logistic regression model for binary classification (if ...
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Do Artificial Neural Network with non-linear activation only in the output layer follows linearity?

You are speaking about generalized linear models (GLM)
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