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System information

• TensorFlow version (you are using): 2.1
• Are you willing to contribute it (Yes/No): No

Please implement the latest examples in the examples/ folder to the docs/mkdocs.yml to see theses examples on the homepage. Perhaps a subsectioning for that many examples is necessary. See Homepage

Thank you!

Numpy:

>>> import numpy as np
>>> np.sign(np.array([1+2j]))
array([1.+0.j])

From numpy docs: For complex inputs, the sign function returns sign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j.
complex(nan, 0) is returned for complex nan inputs.

PyTorch

>>> import torch
>>> torch.sign(torch.tensor(

https://github.com/aymericdamien/TensorFlow-Examples/blob/master/tensorflow_v2/notebooks/3_NeuralNetworks/convolutional_network_raw.ipynb

trainable_variables = weights.values() + biases.values() doesn't work.
Also if I write trainable_variables = list(weights.values()) + list(biases.values()), I have to turn on tf.enable_eager_execution(), but the training result is wrong, accuracy is ar

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

I got this error:

Traceback (most recent call last):
File "c:\Users\jshat\Documents\Code\Machine Learning\Deep-Learning-Papers-Reading-Roadmap\download.py", line 88, in
readme_html = mistune.markdown(readme.read())
File "C:\Python37\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charma

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What's the ETA for updating the massively outdated documentation?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

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?

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

Now that we masterize better the build-and-cache aspect of TaskCluster, it might be a good time to re-think the interfacing for the known-to-be-painful build dance between TensorFlow and TaskCluster:

• make TensorFlow a git submodule
• keep some full-build with caching on taskcluster to ease the build time on CI infra