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CI (macos, ubuntu and windows) has failed:
- https://github.com/red-data-tools/red-datasets/actions/runs/9532177771/job/26273996707#step:8:1434
> Error: test: #each(MNISTTest::Normal::test): Net…
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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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### ❔ Any questions
Hi,
According to attack.py line 501, it seems that if I perform atk.set_normalization_used(mean=[...], std=[...]) before applying the attack, the inputs will be denormalized (b…
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Using MNIST Dataset
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Hello!
I'm encountering an error when running the code, consistently across both the MNIST and CIFAR-10 datasets. Regardless of the configures I use (including the config files in `train_configs` di…
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### ML-Crate Repository (Proposing new issue)
🔴 **[Project Addition]: Image Classification using Convolutional Neural Networks (CNN)**
🔴 **Description:** Create a CNN-based model for image class…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Fashion MNIST Image Classification
:red_circle: **Aim** : This project focuses on image classification…
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I am running the cell with `make_interleaved_dataset` call.
The full exception message is
```
DatasetNotFoundError: Dataset bridge_dataset not found.
Available datasets:
- abstract_reasoning
…
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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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This library works under the presumption that the mnist dataset exists in the ./data folder.
This becomes easier if the data is automatically downloaded if it does not exist.