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Plotting loss function in Jupyter

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

Trying to run the Your First Model tutorial, but I get the error that follows below. I've had to install the most recent stable version of Theano (0.7.0) instead of the bleeding edge one indicated in the install instructions due to some compatibility issues with Python 3.2, in case that could somehow be the root of the problem. Unlike this fellow (http://www.opendeep.org/v0.0.8/discuss/55b3b090a96deb1900990d7e) I haven't figured out the cause, though I'll let you know if I work it out. Running Kali Linux, Python 3.2, Pillow 2.7.0, numpy 1.9.2, and scipy 0.16.0 in addition to the aforementioned theano 0.7.0. Incidentally, thanks for putting this package together. A lot of work goes into something like this. Traceback (most recent call last): File "/home/usrname/PycharmProjects/599/OpenDeepTut.py", line 3, in <module> from opendeep.models.model import Model File "/home/usrname/Downloads/opendeep/opendeep/opendeep/__init__.py", line 26, in <module> from . import data File "/home/usrname/Downloads/opendeep/opendeep/opendeep/data/__init__.py", line 8, in <module> from .standard_datasets import * File "/home/usrname/Downloads/opendeep/opendeep/opendeep/data/standard_datasets/__init__.py", line 4, in <module> from .midi import * File "/home/usrname/Downloads/opendeep/opendeep/opendeep/data/standard_datasets/midi/__init__.py", line 3, in <module> from .jsb_chorales import JSBChorales File "/home/usrname/Downloads/opendeep/opendeep/opendeep/data/standard_datasets/midi/jsb_chorales.py", line 14, in <module> from opendeep.utils.midi import midiread File "/home/usrname/Downloads/opendeep/opendeep/opendeep/utils/midi/__init__.py", line 15, in <module> from MidiOutFile import MidiOutFile ImportError: No module named MidiOutFile
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Failed to connect to Bokeh

I trying to run the "Monitors and Live Plotting" tutorial, but when i run the code a HTTP 599 error is returned with the IOError "Cannot push session document because we failed to connect to the server (to start the server, try the 'bokeh serve' command)". The server is running and listen to localhost:5006. At the same time, the server says "INFO:tornado.general:Malformed HTTP message from 127.0.0.1: Malformed HTTP request line". Anyone have any tip to solve this?

AttributeError: 'Plot' object has no attribute 'channels'

I am new to OpenDeep, trying out the example code for monitoring channels, copy and pasted the code from the example page, but shows this error : Plot object has no attribute 'channel'. Can anyone please help. Thanks
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error lists I found

hi thanks again your quick response I got latest one and I still got these error Please check 1) print () issues test_cifar10.py, example) print len(self.cifar.train_inputs) --> print (len(self.cifar.train_inputs)) 2) raise () issues MidFileParser.py,EventDispatcher.py example) raise TypeError, "It is not a valid midi file!" -> raise (TypeError, "It is not a valid midi file!") 3) packaage Path issues midi.py, MidiOutFile.py,RawOutstreamFile,MidiInFile,RawInstreamFile,MidiFileParser, EventDispatcher example) from MidiOutFile import MidiOutFile --> from opendeep.utils.midi.MidiOutFile import MidiOutFile 4) unused packages in python 3 issues RawOutstreamFile.py, RawInstreamFile, MIdiFileParser from types import StringType from cStringIO import StringIO 5) MidiOutFile,EventDispatcher from constants import * --> from . import constants 6) rnn_gsn,rnn_rbm cPickle is not used in python 3.4 import cPickle as pickle --> import pickle 7) Optimizer.py not used I commented from itertools import izip 8) mnist I got this error File "E:\project_luna\cuda\open_deep\test\opendeeptest.py", line 23, in <module> mnist = MNIST() File "F:\python34\python-3.4.3.amd64\lib\site-packages\opendeep-0.0.9a0-py3.4.egg\opendeep\data\standard_datasets\image\mnist.py", line 68, in __init__ gzip.open(self.path, 'rb') UnicodeDecodeError: 'ascii' codec can't decode byte 0x90 in position 614: ordinal not in range(128) so I changed the code like this gzip.open(self.path, 'rb'),encoding='iso-8859-1' 9) I still get this error 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'

following error I have got

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
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How can I reuse a trained model?

Hello. I'm writing a network that predicts the probabilities of each symbol(character) from the previous context. I've written codes for training, and it seems work well. I want to save the total network settings(including trained weights) then reload and use them later. In other words, I want to separate the training from the part that applies actual data to the trained network. Can I do? If so, what should I do? Thank you for maintaining such a nice project, anyway!
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Theano error when running Quick example

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).')
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running samples

after install your packages and copied under site_packages when I run your sample code I got these errors Microsoft Windows [Version 6.1.7601] Copyright (c) 2009 Microsoft Corporation. All rights reserved. C:\Users\elliotnam>python Python 3.4.3 (v3.4.3:9b73f1c3e601, Feb 24 2015, 22:44:40) [MSC v.1600 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> from opendeep.log import config_root_logger Traceback (most recent call last): File "<stdin>", line 1, in <module> File "f:\dd\opendeep\opendeep\__init__.py", line 15, in <module> from . import data File "f:\dd\opendeep\opendeep\data\__init__.py", line 8, in <module> from .standard_datasets import * File "f:\dd\opendeep\opendeep\data\standard_datasets\__init__.py", line 4, in <module> from .midi import * File "f:\dd\opendeep\opendeep\data\standard_datasets\midi\__init__.py", line 3, in <module> from .jsb_chorales import JSBChorales File "f:\dd\opendeep\opendeep\data\standard_datasets\midi\jsb_chorales.py", line 14, in <module> from opendeep.utils.midi import midiread File "f:\dd\opendeep\opendeep\utils\midi\__init__.py", line 15, in <module> from MidiOutFile import MidiOutFile ImportError: No module named 'MidiOutFile' >>> from opendeep.data import MNIST Traceback (most recent call last): File "<stdin>", line 1, in <module> File "f:\dd\opendeep\opendeep\__init__.py", line 7, in <module> from . import version ImportError: cannot import name 'version' >>> from opendeep.models import DenoisingAutoencoder Traceback (most recent call last): File "<stdin>", line 1, in <module> File "f:\dd\opendeep\opendeep\__init__.py", line 7, in <module> from . import version ImportError: cannot import name 'version' >>> from opendeep.optimization import AdaDelta Traceback (most recent call last): File "<stdin>", line 1, in <module> File "f:\dd\opendeep\opendeep\__init__.py", line 7, in <module> from . import version ImportError: cannot import name 'version' >>>
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question on sample code

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'