Reputation: 13
I'm currently using the machine learning library theano to produce a project which utilises deep learning techniques, to find an internal representation of the MNIST dataset.
So far my codebase is pretty much the same as this convolutional net tutorial http://deeplearning.net/tutorial/lenet.html
Mt problem is arising from the fact that I want to be able to select individual examples out of the test batches (or indeed my own handwritten characters for testing) but I can't seem to get theano to do this.
I have tried quite a few things (been stuck for 4+ days) but my latest attempt which I think is getting somewhere looks like this:
testFunction = theano.function(
inputs=[index],
outputs=[layer3.y_pred],
givens={
layer0.input: [tData[index]]
}
)
tData is a theano.shared variable which contains the testing images, layer3.y_pred is the output I'm interested in.
But I keep getting errors related to shape, non-tensor types, and conversions. Anybody who has any experience with theano and knows what's going on under the hood I would really appreciate some input.
Upvotes: 0
Views: 142
Reputation: 151
You can change tData[index]
to tData[index:index+1]
.
If tData
is an n by m matrix containing n samples, then theano is expecting training data with dimension (batch_size, m). In your case, tData[index]
has dimension (m,) while tData[index:index+1]
has dimension (1,m)
Upvotes: 0