Discussions

on your sample code you did from opendeep.data.dataset import TEST but the TEST is not under dataset package I found "opendeeptest.MNIST.test_inputs" Is it right ? but I got the same error again Traceback (most recent call last): File "E:\project_luna\cuda\open_deep\test\opendeeptest2.py", line 7, in <module> from test import opendeeptest File "E:\project_luna\cuda\open_deep\test\opendeeptest.py", line 39, in <module> dae = DenoisingAutoencoder(**config) File "F:\python34\python-3.4.3.amd64\lib\site-packages\opendeep-0.0.9a0-py3.4.egg\opendeep\models\single_layer\autoencoder.py", line 152, in __init__ **{arg: val for (arg, val) in locals().iteritems() if arg is not 'self'} AttributeError: 'dict' object has no attribute 'iteritems'

Hi I tested your packages and got a problem , It works well on Python 2.7 but not on Python 3.4 like this when use Python 3.4 from . import version ImportError: cannot import name 'version' ERROR: Module: test.opendeeptest could not be imported (file: E:/project_luna/cuda/open_deep/test/opendeeptest.py). Importing test modules ... done. Any suggestion ?

I got this error, Now I am using phthon 2.7 INFO:opendeep.optimization.optimizer:Initializing optimizer <class 'opendeep.optimization.adadelta.AdaDelta'> INFO:opendeep.optimization.optimizer:Optimizer config args: {'grad_clip': None, 'save_freq': 1000000, 'min_batch_size': 1, 'stop_threshold': inf, 'decay': 0.95, 'hard_clip': False, 'learning_rate': 1e-06, 'batch_size': 100, 'stop_patience': 1, 'epochs': 10, 'lr_decay': None, 'model': <opendeep.data.standard_datasets.image.mnist.MNIST object at 0x00000000143F7630>, 'dataset': <opendeep.models.single_layer.autoencoder.DenoisingAutoencoder object at 0x00000000233BDA58>, 'lr_decay_factor': None} Traceback (most recent call last): File "E:\project_luna\cuda\open_deep\test\opendeeptest2.py", line 29, in <module> optimizer = AdaDelta(dae, mnist) File "F:\python27\python-2.7.9.amd64\lib\site-packages\opendeep-0.0.9a0-py2.7.egg\opendeep\optimization\adadelta.py", line 72, in __init__ super(AdaDelta, self).__init__(**initial_parameters) File "F:\python27\python-2.7.9.amd64\lib\site-packages\opendeep-0.0.9a0-py2.7.egg\opendeep\optimization\optimizer.py", line 123, in __init__ "Found %s" % str(type(model)) AssertionError: Optimizer input model needs to be a Model class! Found <class 'opendeep.data.standard_datasets.image.mnist.MNIST'>

Hi I have a question After training a model , How can I predict using sample data ?

I'm looking to evaluate OpenDeep. Any recommendations on GPU hardware (NVidia graphics cards) and what Distribution of Linux to use?

I got this error, I can't find getSubSet() on the source, Did you change it ? File "E:\project_luna\cuda\open_deep\test\opendeeptest2.py", line 36, in <module> test_xs, _ = mnist.getSubset(datasets.Dataset.test_inputs) AttributeError: 'MNIST' object has no attribute 'getSubset'

I just git latest one and I got this error please check 2015-07-28 23:08:34,829 - opendeep.optimization.optimizer - INFO - Compiling f_learn 1/1 function for model <class '__main__.DenoisingAutoencoder'>... Traceback (most recent call last): File "E:\project\python\test\test\opendeeptest.py", line 83, in <module> optimizer.train() File "E:\program\python34\python-3.4.3.amd64\lib\site-packages\opendeep\optimization\optimizer.py", line 330, in train outputs=[train_cost] + self.train_monitors_dict.values(), TypeError: can only concatenate list (not "dict_values") to list

when I run your rbmminst sample I got this error Traceback (most recent call last): File "E:\project\python\test\test\opendeep_rbm.py", line 72, in <module> tile_shape=closest_to_square_factors(rbm.hidden_size), AttributeError: 'RBM' object has no attribute 'hidden_size'

hi do you have any CNN example code for example, CNN for mnist something like that thx

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