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Hello sir. Why the result about the whole dataset training is 84.8 in MTT, but in your paper is 75. Can you tell me roughly configuration about training the whole dataset, that would be really great.
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**Describe the bug**
ttnn.max_pool2d fails in convnet mnist model
**To Reproduce**
pick the test from [commit](https://github.com/tenstorrent/tt-metal/compare/vignesh/ttnn_maxpool_mnist_unit_test…
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hi，could you tell me how do you measure the inference time of f-convnet at 0.47s on the …
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Implement Data parallel for Convnet Mnist model on n300.
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train.py里的from convnet import ConvNet，convnet 在哪？
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An enhancement for convnet would be verbose, which prints the percentage of the files done that are supplied to convnet and time taken
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Traceback (most recent call last):
File "main.py", line 21, in
maybe_text = user.select_text_among_candidates('/home/rituraj/ImageTextRecognition-master/linearsvc-hog-fulltrain2-90.pickle')
F…
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**Describe the bug**
ttnn.softmax returns zero valued tensor in convnet mnist model resulting in PCC = 0.0.
**To Reproduce**
Pick the test from [commit](https://github.com/tenstorrent/tt-metal/co…
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Hi,
I'm a beginner in Deep Learning and cntk. For a project I set up a basic CNN (AlexNet) which works fine so far. Although it would be benefitical for me to have a semantic segmentation network. …
ueezb updated
6 years ago
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I am considering using Gorgonia for a research project, as an alternative to Tensorflow, since I have other code already written in Go. I tried to run the `convnet` example included in Gorgonia: it ta…