I'm not sure what skip connections are, but I think I have a good guess as to what they are.
I've wanted to try a neural network where the output of every layer goes into every subsequent layer. Each layer would thus provide a different perspective to subsequent layers.
I've wanted to try a neural network where the output of every layer goes into every subsequent layer. Each layer would thus provide a different perspective to subsequent layers.
Anyone know if this has been tried?