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Hi Felix, Sure! Here is the config: Using cuDNN version 5105 device cuda0: GeForce GTX 980M theano: 0.9.0rc3.dev-7e40dae76680552680ae4ff7cbf0d56713bcd2cb numpy: 1.11.0 pygpu: 0.6.1 lasagne: 0.2.dev1 As for the error CUDNN_STATUS_BAD_PARAM, I...

Hi Felix, I've been using cropped images (1,3,256,256) and (1,3,288,320) on a GPU980M with barely 4Gb. with batch_size=1 with the new Theano backend (cuda) In term of unsupervized pre_training one...

Thanks Simon, I'll keep you posted whenever some progress is made ;-) btw. are you sill @ecp ? Jean-Claude