MATLAB: How to train a Neural Network to give me a classified output based on male or female

classifyDeep Learning Toolboxfingerprintgenderneural networkstraining

In my project I have two vectors of [200×1] that should be used in Neural Network and trained in a way that it gives me the subject's fingerprint gender.
I think I should provide a target vector based on the subject's gender from the ground truth data (like 1 for female and 0 for male) But I am not sure if this consideration is correct.
Any idea for this?

Best Answer

1. Two vectors are insufficient. Look at typical input/target sizes for classifiers
 help nndatasets
  doc nndatasets
2. 200 dimensional inputs probably have many that are insignificant. Dimensionality reduction is recommended.
3. {0,1} targets are fine.
Hope this helps.
Thank you for formally accepting my answer
Greg
Related Question