Please make sure that this is a bug. As per our
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we only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub. tag:bug_template

System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

Please make sure that this is a Bug or a Feature Request and provide all applicable information asked by the template.
If your issue is an implementation question, please ask your question on StackOverflow or on the Keras Slack channel instead of opening a GitHub issue.

**System inf

https://github.com/pytorch/pytorch/pull/34093/files

cc @ezyang @anjali411 @dylanbespalko

https://github.com/aymericdamien/TensorFlow-Examples/blob/f6f80833e025ef22cfe9cebd9ca832e33134579f/examples/5_DataManagement/tensorflow_dataset_api.py#L43-L44
https://github.com/aymericdamien/TensorFlow-Examples/blob/f6f80833e025ef22cfe9cebd9ca832e33134579f/examples/5_DataManagement/tensorflow_dataset_api.py#L125-L125

This is not an issue but a question.
It seems the '_data' and _labels fe

Line 1137 of the Caffe.Proto states "By default, SliceLayer concatenates blobs along the "channels" axis (1)."

Yet, the documentation on http://caffe.berkeleyvision.org/tutorial/layers/slice.html states, "The Slice layer is a utility layer that slices an input layer to multiple output layers along a given dimension (currently num or channel only) with given slice indices." which seems to be

While opening the README.md, download.py gave me this:

UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 33476: character maps to <undefined>

In case someone has the same problem, you may fix it by changing line 73 to:

with open('README.md', encoding="utf8") as readme:

Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

What's the ETA for updating the massively outdated documentation?

Please update all documents that are related building CNTK from source with latest CUDA dependencies that are indicated in CNTK.Common.props and CNTK.Cpp.props.
I tried to build from source, but it's a futile effort.

Hi,
I thank you very much for your excellent work. However, I endure difficulties understanding your code ; my Java and Python training explain it a bit, but I think it would be great for everyone if it was documented. I mean a short explanation of each - complex - function, its role and its algorithm. I would be especially interested in a documentation of the tracker.
I thank you very much in a

In the PyTorch 1.0, there are some changes such as replace variable with tensor and so on.There most be some better practice. It would be nice to update this.

In doc.pyx' s line 590:

 if not self.is_parsed:
            raise ValueError(Errors.E029)

I can still do a good job of chunking by tokenization and pos tagging only, without the full parse. Also in some languages parse isn't available. This will leave more flexibilities to users. I can comment out this in my copy of spacy, but when I update spacy to a new release, I have to chang

As part of the overall versioning + docs work we're doing for 0.8.0. This will avoid confusion like the one in #2916.