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Limit ist hier nicht so klar (universal approximation theorem), aber allenfalls GPUs und Anzahl Daten als Limit aufzeigen.
Vielleicht schwächen bei Struktured Daten aufzeigen im Vergleich zu Gradie…
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## Description
cuDNN/cuTensor are used in MXNet GPU builds to accelerate common kernels in deep learning. Including them in distribution helps simplify the installation process for our users and make…
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## PTZ Tracking ideas page on initial thoughts and possible approach
[Online-Visual-Tracking-SOTA](https://github.com/wangdongdut/Online-Visual-Tracking-SOTA)
## OpenTLD (Predator)
### Origin…
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great work of scFAN!
hi, I was just getting on deep learning,
I have a question about the conv layer in the model
the input size is 1,1000,6, in my understanding the 1 the extend dim for conv2d,
a…
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Hi all,
I am currently trying to understand how to do semi-supervised learning with gpytorch based on this paper: https://arxiv.org/pdf/1805.10407.pdf
I would like to setup a mini-batch approach…
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There is a new release of intels MKL library. This includes many performance improvements for processors supporting Advanced Vector Extensions (AVX and later incarnations). They have also included the…
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Hi, Thank you for your share.When I reproduce ,I have some trouble .It confuse me much time.Please help me.
Error log:
Extracting X relu1_1 From Y conv1_2 stride 1
Process Process-3:
Traceback (…
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With the default warmup=25 parameter to `triton.testing.do_bench`, the test function in a reproducer script (see below) will result in 11.23 ms. Increasing the warmup time to over 150, the benchmark r…
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The labels of the python kernels in the launcher are hard to read, especially when you have a large number of kernels. I had to hover over them to read the full name.
Below is an example of runnin…
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Thanks for the nice U2Net sharing ! It helps me a lot.
I just run the new released human segmentation model, and got the error below. please enlighten me.
----------------------------------
(an…