Hi Mallika,

It is indeed a non-theano specific question buy I will try to answer it
nevertheless - there can be a variety of reasons you are always getting the
first class e.g. if the first class is the dominant class (more number of
training examples and you do not use a weight in the cost function), a good
local minima for the network to learn is to output the first class all the
time as it would be a good guess.

Have you tested your trained model on the training data?

Best,
Arjun

On Mon, Sep 26, 2016 at 8:11 PM, Mallika Agarwal <[email protected]>
wrote:

> I suppose this isn't theano specific, let me know if I should shift the
> question somewhere else.
>
> I am trying to perform verification for face recognition. (Binary
> classification)
>
> I trained a CNN using ~1000 examples, and stored the model to file.
>
> I am now testing this on  ~5000 examples. I seem to be getting something
> very incorrect. When I output the probabilities from logistic regression
> (for each test example I get [1.0, 0.0] this prob distribution).
>
> Is there a way I could check where the problem lies - in my trained
> parameters or in the test method?
>
> Any help would be appreciated, thanks. :S
>
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