When running the Quick example of the MLP on the MNIST data I am getting the following error when running on Python 3.5: Using gpu device 0: GeForce GT 650M (CNMeM is disabled, cuDNN not available) Getting data... Creating model... Training... Traceback (most recent call last): File "<ipython-input-2-360694695dce>", line 1, in <module> runfile('/Users/molinal/SkyDrive/AI/opendeep/mlp_opendeep.py', wdir='/Users/molinal/SkyDrive/AI/opendeep') File "/Users/molinal/anaconda/envs/tensorflow/lib/python3.5/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 699, in runfile execfile(filename, namespace) File "/Users/molinal/anaconda/envs/tensorflow/lib/python3.5/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 88, in execfile exec(compile(open(filename, 'rb').read(), filename, 'exec'), namespace) File "/Users/molinal/SkyDrive/AI/opendeep/mlp_opendeep.py", line 34, in <module> optimizer.train() File "/Users/molinal/OpenDeep/opendeep/optimization/optimizer.py", line 380, in train self.STOP = self._perform_one_epoch(f_learn, plot) File "/Users/molinal/OpenDeep/opendeep/optimization/optimizer.py", line 422, in _perform_one_epoch _outs = raise_to_list(f_learn(*batch)) File "/Users/molinal/anaconda/pkgs/theano/compile/function_module.py", line 786, in __call__ allow_downcast=s.allow_downcast) File "/Users/molinal/anaconda/pkgs/theano/tensor/type.py", line 177, in filter data.shape)) TypeError: ('Bad input argument to theano function with name "f_learn" at index 0(0-based)', 'Wrong number of dimensions: expected 2, got 4 with shape (100, 1, 28, 28).')

from opendeep.models.container import Prototype Traceback (most recent call last): File "<stdin>", line 1, in <module> File "opendeep/__init__.py", line 29, in <module> from . import models File "opendeep/models/__init__.py", line 3, in <module> from .model import * File "opendeep/models/model.py", line 13, in <module> from theano.compat.python2x import OrderedDict # use this compatibility OrderedDict ImportError: No module named python2x how to import

Dear all, I would like to know how to get the probabilities (output values of the neural network) of each class of a given trained MLP in OpenDeep ? This would play the role of a confidence. Thanks a lot !

Hi, Fantastic Library, so clear! I was just wondering, i am trying to use the library for a binary classifier experiment using the log loss function to train the model. This is for a university experiment around benchmarking different models. Would you have some time to provide an example of how to use the library to achieve the above goal. Many thanks, Best, Andrew