Prediction in Caffe - Exception: Input blob arguments do not match net inputs

Question

I\'m using Caffe for classifying non-image data using a quite simple CNN structure. I\'ve had no problems training my network on my HDF5-data with dimensions n x 1 x 156 x 12. H

Answer 1

I have exactly the same problem. This is what fixed it.

First, take the same prototext file as you used to train, remove the two data layers.

Then add the block as Mark's above

name: "Name_of_your_net"
input: "data"
input_dim: 64 
input_dim: 1
input_dim: 28
input_dim: 28

where my input_dim are for mnist, change them to your dim.

Everything works.