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

Is there a way to plot the loss function as a function of iteration number (during training) within the Jupyter notebook?

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