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

In my project I have two vectors of [200x1] 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?

Answer 1

[Greg Heath]

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