Tensorflow

TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
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This issue is part of our Doc Test Sprint. If you're interested in helping out come join us on Discord and talk with other contributors!
Docstring examples are often the first point of contact when trying out a new library! So far we haven't done a very good job at ensuring that all docstring examples work correctly in
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I've ran into this issue for a couple hours and I ended up editing the dist library adding two new functions called fetchVideo
and bufferToVideo
that works pretty much like the fetchImage
and bufferToImage
functions.
I'll leave it here to help somebody else with the same issue and in case someone wants to include it on future releases.
face-api.js
...
exports.fetchVideo = fetc
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Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.
It can be clearly seen in chapter 6([CNN Lenet](ht
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New Operator
Describe the operator
Why is this operator necessary? What does it accomplish?
This is a frequently used operator in tensorflow/keras
Can this operator be constructed using existing onnx operators?
If so, why not add it as a function?
I don't know.
Is this operator used by any model currently? Which one?
Are you willing to contribute it?
Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
While trying to speedup my single shot detector, the following error comes up. Any way to fix this,
/usr/local/lib/python3.8/dist-packages/nni/compression/pytorch/speedup/jit_translate.py in forward(self, *args)
363
364 def forward(self, *
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Created by Google Brain Team
Released November 9, 2015
- Organization
- tensorflow
- Website
- www.tensorflow.org
- Wikipedia
- Wikipedia
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.