In what manner Matlab generate feed-forward neural network with 100 neurons for 33 inputs and 256 output classes. What will be the structure? I want to know So that I can implement it on other platforms.

I trained a neural network for pattern recognition with 100 neurons and 33 inputs for 256 output classes. I used the command

net = patternnet(100);

to generate network. I only know the structure of simple neural network ,which is for 33 inputs and 33 neurons are used in hidden layer. Where each neuron is connected to each input. And each neuron has activation function.and then there is output layer. I can code this network in any language. How do I know that how many neurons are connected to how many inputs in how many manners in a feedforward network created by matlab with 100 neurons along 33 inputs for 256 output classes .

any insight would be useful.