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URL(s) with the issue:

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In the given documentation, the mentioned key are acc and val_acc, but actually it is accuracy and val_accuracy.

Given documentation screenshot:

Whereas the actual keys are `dict_keys(['val_loss', 'val_accuracy

System information (version)

• OpenCV => 4.2.0
• Operating System / Platform => Ubuntu 18.04
• Compiler => g++ 7.4

Detailed description

It appears that the pad value in darknet configuration files indicates the padding mode and not the padding value itself. I think pad being one implies same padding and pad being zero implies manual padding (which is specified in the `padd

https://github.com/aymericdamien/TensorFlow-Examples/blob/9e1bb504f5d0f209d000997ce2ad95bb891798ab/examples/3_NeuralNetworks/bidirectional_rnn.py#L81

I think "outputs [-1]" and "outputs [0]" are equivalent (reversed) in this line of code, but the former (89%) works better than the latter (86%). Why?

Currently, PyTorch C++ API is missing many torch::nn layers that are available in the Python API. As part of the Python/C++ API parity work, we would like to add the following torch::nn modules and utilities in C++ API:

Containers

• Module (TODO: some APIs are missing in C++, e.g. register_forward_hook / register_forward_pre_hook)
• Sequential (@ShahriarSS)
• Modul

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

This should really help to keep a track of papers read so far. I would love to fork the repo and keep on checking the boxes in my local fork.

For example: Have a look at this section. People fork this repo and check the boxes as they finish reading each section.

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

@microsoft AI Team - Fantastic Product! Thank You!

PLEASE: Better documentation on Source Code and Fields, Properties, Methods, and Constructors, just a detailed Summary, please in the C# projects.

When coding, the IntelliSense documentation is very handy! I would really appreciate more detailed documentation.

An example: PreviousMinibatchEvaluationAverage - I have no idea what its ac

I am having difficulty in running this package as a Webservice. Would appreciate if we could provide any kind of documentation on implementing an API to get the keypoints from an image. Our aim is to able to deploy this API as an Azure Function and also know if it is feasible.

I got a conllU file, from my university, where the head column is filled with .
Processing such file with the cli.convert method will result in a int cast error in
https://github.com/explosion/spaCy/blob/master/spacy/cli/converters/conllu2json.py line 73
in the read_conllx method (head = (int(head) - 1) if head != "0" else id).

In the format documentation on https://universaldependencie

Hi, is there any plan to provide a tutorial of showing an example of employing the Transformer as an alternative of RNN for seq2seq task such as machine translation?

transcribe.py has odd directory-scanning behavior which isn't documented

If you point --src to a directory, you get the error:

E Path in --src not existing

Looking at the code logic, the script expects a JSON file with a .catalog file extension. This is (1) not documented, and (2) not a really useful logic. It would be much better to point the script to a dir, and scan f