Discussions
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?
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".
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.
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
following error I have got
from opendeep.models.container import Prototype
Traceback (most recent call last):
File "", line 1, in
File "opendeep/init.py", line 29, in
from . import models
File "opendeep/models/init.py", line 3, in
from .model import *
File "opendeep/models/model.py", line 13, in
from theano.compat.python2x import OrderedDict # use this compatibility OrderedDict
ImportError: No module named python2x
error lists I found
hi
thanks again your quick response
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:
How can I reuse a trained model?
Hello.
running samples
after install your packages and copied under site_packages
when I run your sample code I got these errors
when i run rnnrbm_mnist.py test program I got this error
INFO:opendeep.optimization.optimizer:Train monitors: {'crossentropy/train': 0.45665097, 'error/train': 0.17261043}
Traceback (most recent call last):
File "/home/elliotnam/workspace2/facerecognition/rnnrbm_mnist.py", line 95, in
run_sequence(1)
File "/home/elliotnam/workspace2/facerecognition/rnnrbm_mnist.py", line 54, in run_sequence
optimizer.train(plot=plot)
File "/usr/local/lib/python2.7/dist-packages/opendeep-0.0.9a0-py2.7.egg/opendeep/optimization/optimizer.py", line 391, in train
self.STOP = self._perform_one_epoch(train_function, plot)
File "/usr/local/lib/python2.7/dist-packages/opendeep-0.0.9a0-py2.7.egg/opendeep/optimization/optimizer.py", line 464, in _perform_one_epoch
plot.update_plots(epoch=self.epoch_counter, monitors=current_mean_monitors)
File "/usr/local/lib/python2.7/dist-packages/opendeep-0.0.9a0-py2.7.egg/opendeep/monitor/plot.py", line 213, in update_plots
line_color=self.colors[color_idx % len(self.colors)])
File "/home/elliotnam/.local/lib/python2.7/site-packages/bokeh/_glyph_functions.py", line 37, in func
glyph = _make_glyph(glyphclass, kwargs, glyph_ca)
File "/home/elliotnam/.local/lib/python2.7/site-packages/bokeh/plotting_helpers.py", line 144, in _make_glyph
return glyphclass(kws)
File "/home/elliotnam/.local/lib/python2.7/site-packages/bokeh/plot_object.py", line 90, in init
super(PlotObject, self).init(kwargs)
File "/home/elliotnam/.local/lib/python2.7/site-packages/bokeh/properties.py", line 357, in init
setattr(self, name, value)
File "/home/elliotnam/.local/lib/python2.7/site-packages/bokeh/properties.py", line 371, in setattr
(name, self.class.name, text, nice_join(matches)))
AttributeError: unexpected attribute 'y_axis_label' to Line, possible attributes are line_alpha, line_cap, line_color, line_dash, line_dash_offset, line_join, line_width, name, session, tags, visible, x or y