I've been attempting to do the cats vs dogs redux from scratch, but keep getting the error:
Error when checking model input: expected dense_input_1 to have shape (None, 3, 224, 224) but got array with shape (64, 224, 224, 3)
Here's a link to my script, which is a very minimal network that's not utilizing VGG (at the moment). Even when I try change the
input_shape parameter to
(224, 224, 3) or
(64, 224, 224, 3) it still doesn't work (in the first case, it says that the expected shape is
(None, 224, 224, 3) and in the second case, it says that the expected input has 5 dimensions but only 4 are received).
Note: I realize that the output layer should probably have only two neurons, but I haven't gotten that far yet
A full text of my logs on the latest run (including error) is also provided at the link above.
I'm using floydhub with the options
floyd run --gpu --env theano --data SyccinddLDdS7p3vzcwGQ2 'python demo.py'
/input directory contains the unzipped train and test data.