* I need to find out the value of the cost function ( the loss) for each
sample.* My example code has something written like this.
test_model_error = theano.function([index], layer4.errors(y),
givens={
x: test_set_x[index * batch_size: (index + 1) * batch_size],
y: test_set_y[index * batch_size: (index + 1) *
batch_size]})
here layer4.errors(y) is giving the rate of prediction mistakes the model
makes for a minibatch. But I need the value of the cost function which is
defined in the code as
cost = layer4.negative_log_likelihood(y)
How can a write a function which will give me the value of the cost
function for a single sample ?
I have written something like this but it is not working.
test_model_cost = theano.function([sample_index], cost,
givens={
x: test_set_x[sample_index],
y: test_set_y[sample_index]})
Also since y is not a shared variable its giving some error in "y:
test_set_y[sample_index]".
Also can you tell me how to make y a shared variable....since y is a
categorical array (containing the labels) its not allowing me to convert it
into a shared variable.
PLEASE HELP ME....I NEED TO DO THIS...I HAVE A DEADLINE....
THANKS IN ADVANCE...
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