Some lines in the code block of the keras docs is too long, the result of which is, there will be a horizonal scroll bar at the bottom of the code block. That is hard to read. The long lines should be rearranged to multiple short lines to improve readibility.

Example:
The docs for the SimpleRNN class (https://keras.io/layers/recurrent/#simplernn). The initializer of SimpleRNN has m

I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration ✨ For existing plugins and projects, check out the spaCy universe.

If you have questions about the projects I suggested,

With the latest version of scipy.misc, scipy.misc.toimage is no longer available. To load and save an image as png we now have to use PIL, breaking tensorboard image summary.

Here is how I fixed the bug:
1./ At the end of main.py, log a uint8 image
logger.image_summary(tag, (images * 255).astype(np.uint8), step+1)
2./ In Logger class, package image as bytes with the PIL library (mode="L

It would be nice to have an API similar to strerror to get textual descriptions of error codes so applications can show something meaningful to users in error messages.

This was already implemented ad-hoc in the .NET bindings, see here: https://github.com/mozilla/DeepSpeech/blob/0b82c751db58d9d2d90e861f9af04e671fd2ab41/native_client/dotnet/DeepSpeechClien

THIS IS NOT TECH SUPPORT FOR NEWBIE FAKERS
POST ONLY ISSUES RELATED TO BUGS OR CODE

Expected behavior

To extract images with the manual extractor, making use of the current screen and image resolution.

Actual behavior

There is some sort of autoscaling of the window, and depending on the image resolution the autoscaling makes it very difficult to see what you are working on. (4k dis

The readme file says the requirements are:

TensorFlow 0.11.0
Python 2.7.9, Pillow 3.4.2, scipy 0.18.1, numpy 1.11.2

But they seem outdated.
I saw a few references to tensorflow 1.0.0. What are the full requirements exactly?

The sonnet documentation states the about the Conv2DTranspose:

This acts as a light wrapper around the TensorFlow op tf.nn.conv2d_transpose
abstracting away variable creation and sharing.

tf.layers.conv2d_transpose(inputs, filters=64, kernel_size=1, strides=5, padding='valid')
--> yields shape (?, 5, 5, 64)

snt.Conv2DTranspose(64, 1, 5, padding='VALID')(inputs)
--> yiel

The documentation of the Yaml config parameters is missing an explanatory entry for the optional learning_rate_schedule property, described more here.

(Sorry, not a bug, but didn't find a b

You know, scipy library are updated to the 1.3.0 version and some scipy methods are deleted like resize, imread or something like that. Lots of people suggest that numpy methods can be used instead of the deleted scipy methods but especially the shape of images needs to be resize are not match correctly with numpy resize funcitons.

I have solved this problem with using 'opencv-python' library a

Upon environment timeout python client will only receive the error message "Environment in wrong status for call to observations()". Might be good to provide more information why the environment is not running anymore (due to timeout etc.)

if (!is_running(self)) {
  PyErr_SetString(PyExc_RuntimeError,
  "Environment in wrong status for call to observations()");
  return NULL;
}

Sphinx (2.2.1 or master) produces the following two kinds of warnings in my environment.

duplicate object description

I think cross refs to such object is ambiguous.

autosummary: stub file not found

There are

• chainer.dataset.Converter base class and
• chainer.dataset.converter decorator.

Therefore the filesystem has to allow to store `chainer.dataset.Conver

It was amazing to see detectron2, that's like the best of pytorch and tensorflow. Thank you for the great library.

according to @wat3rBro
facebookresearch/detectron2#12 (comment)

facebookresearch/detectron2#12 (comment) mobile friendly models are coming soon.

Creating this issue as a placeholder to support

The icons for "Multi-view Images", "Volumetric", etc are cute, but it is (1) impossible to use them for searching, and (2) hard to remember what they mean. Maybe use text keywords (tags) instead?

Sample on front page:

const model = new KerasJS.Model({
  filepaths: {

filepaths in plural.
code for Model:

if (!filepath) {
      throw new Error('[Model] path to protobuf-serialized model definition file is missing.')
    }

I think there is a little typo which gives the following error:
TypeError: init() got an unexpected keyword argument 'mu'

I checked the "mixture_gaussian_gibbs.py" example and I suggest the following suggestion
params = {'loc': tf.zeros(5), 'scale': tf.ones(5)}

https://github.com/blei-lab/edward/blob/352596c3bc77e1cb5c01f77ac3283a53c74dbf21/edward/models/param_mixture.py#L36

Hey Spandan,

Looks like something has changed in the data or model, the TF precision and recall in the final runs are very low (.2 or so) might need.to future proof this a bit more against changes to the TMDB or IMDB apis

While I was using Your library (it is great lib!), I found two strange things.
Sorry for my English.

1. In your documentation You write

# Create your new operation by inheriting from the Operation superclass:
class FoldImage(Operation):
    # Here you can accept as many custom parameters as required:
    def __init__(self, probability, num_of_folds):
        # Call the superclass's c

When passing a two-dimensional input layer to LSTMLayer, it will break with an uninterpretable error message:

>>> lasagne.layers.LSTMLayer((10, 20), 30)
[...]
TypeError: 'numpy.float64' object cannot be interpreted as an index

The reason is that np.prod(()) returns 1.0 as a numpy.float64 instance when computing num_units: https://github.com/Lasagne/Lasagne/blob/master/lasagne

The README.md doesn't indicate how to contribute. I made a local branch to fix issue #34 but when I try to push the branch I get the following error, which indicates I don't have permission.

Please indicate in the README how to contribute.

Thanks.