Hello,
I believe this to be an elementary question to more experienced machine learning experts, but I am lost. I know that the number of input neurons corresponds to your input layers in a neural network. However, I am still confused about how many input neurons I have in my network.
Here is my case:
I am performing a classification problem where I am trying to classify shapes. I have circles, squares, and triangles.
For my input data, I have 100 samples of each shape (300 total samples). Additionally, each sample has 50 attributes (predictors/elements) that describe the shape.
I end up with a 50*300 matrix that I am feeding into the network.
My question is, how many input neurons do I have? Would it be 50, 100, or 300?
I will be grateful for your response.
Best Answer