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Thanks for sharing the code. It seems like you did not change num_class and num_point in `train.py`. Since num_class is 10 in mnist dataset and default num_point I believe should be 2048.
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For the first, thank you for your work!
I have only one question about **mnist_ann.ipynb**:
Based on the Youtube video, you achieve 71.6% accuracy for 10 epochs, but I can't go above 54-56%. However…
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I failed to pass the last test case of parse_mnist.
My environment: windows 10, anaconada3, python 3.8
My codes as below:
My code snip 1:
```
(removed)
````
My code snip 2:
```
(r…
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https://github.com/liux0229/scratch/edit/master/mnist/readme.md
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Hi,
I wanted to try out your HF implementation, but cannot get it to run in your example as given in the README.md.
Even after fixing a few small errors in deep_autoencoder (272: rbm.get_cost_upda…
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# Mnist
- 美国国家标准与技术研究所, National Institute of Standards and Technology (NIST).
- 250 个不同人手写的数字构成, 其中 50% 是高中学生, 50% 来自人口普查局 (the Census Bureau) 的工作人员
## Samples
## Download
Da…
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In order to reproduce the MNIST results, could you please provide the steps and required files?
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Hi,
while working on a PyTorch DQN agent for BSuite experiments, I noticed quite bad results on the mnist and mountain car experiments. I see that a similar question was addressed [here](https://gi…
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I don't think there is any way to get tinygo to produce a build of a package (e.g. for use as a WASM export) if you're using go modules.
If you have a project with a `go.mod` file, then you can bui…
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https://github.com/francescogrienti/PyTorchLearning/blob/8d8bfe760274f6ffb771d3c752513e7b0a525d1e/Exercise2/DNN_MINST.py#L101C1-L102C1
Magari e' ovvia ma ad occhio non la capisco