Hi all, I am constructing a simple perceptron with Flux, something like: y = W*x + b. To do so I simply use:
model = Dense(N,1,nonlinearity);
What I do not understand is:
- How can I impose the initial value for the matrix W and b?
- How can impose that at every iteration in the learning norm(W) = 1?