I'm just started to learn deep learning and I have a question about this neural network:
I think $h_1$, $h_j$ and $h_n$ are perceptrons. So, if they are perceptrons, all of them will have an activation function.
I'm wondering if it is possible to have only one activation function, and sum the output to all of the perceptrons, and pass that sum to that activation function. And the output of this activation function will be $y$.
The input for the activation function will be the sum of the outputs of $H1$, $Hj$ and $Hn$ without been processed by an activation function.
Is that possible (or is it a good idea)?