how do I get a neural network without hiddenlayer

hello,

I try to initialize a neural network without a hiddenlayer to estimate the distance from a wall with to circles on it. the neural network should be as simple as possible ( I don´t need to consider of a rotation or angle deviation). The inputneurons are the pixels of the images which i transform in a vector, so that it isn´t a matrix anymore. The network should connect directly between 100 inputneurons and just 1 outputeuron.

I hope you can help me with my issue.

Thanks for your help!

Answer 1

[KSSV]

If regression, use:

     net = fitnet([]);     % For regression
     view(net)

If classification, use:

   net = patternnet([]); % For classification
   view(net)

[Lorenz Hipp]

Thanks for your help! It worked at this part.