Extremely Basic Neural Network Not Learning

I've gone through some of the CNTK Python tutorials and I'm trying to write an extremely basic one layer neural network that can compute a logical AND. I have functioning code, but

Solution 1:

You are trying to solve a binary classification problem with a softmax as your final layer. The softmax layer is not the right layer here, it is only effective for multiclass (classes >= 3) problems.

For binary classification problems you should do the following two modifications:

• Add a sigmoid layer to your output (this will make your output look like a probability)
• Use binary_cross_entropy as your criterion (you will have to be on at least this release)