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1)To train PyTorch tutorial classification pytorch_tutorial_classification.ipynb
2)To replace torchvision.datasets.CIFAR10 on your own dataset and train:
a) car
b) truck
c) tank
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Thanks for the great work!
I have a question regarding the hyperparams for training cifar10. I used the setting in this repo and replaced several hyperparams (eg n_layers n_heads etc) with the ones r…
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我看這篇也是https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN/tree/main?tab=readme-ov-file這樣做,而且他是在目前cifar10 dvs classification榜上最高的,但她也只做了data augmentation而已,架構也是vgg,我跑出來的準確度也差不多70幾趴而已,順帶一題想問你有跑過他的…
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Hello! I have really enjoyed reading your paper and want to do some experiments with the invertible network on Cifar-10. However, I think there are some small mistakes with the CIFAR-10 config file, n…
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I'm following the `train_a_new_model_on_a_new_dataset_from_scratch.ipynb` and used `python3.11 -m venv venv && source venv/bin/activate` for virtual env.
I noticed that the `corenet` doesn't have …
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![Uploading 1.png…]()
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Is there a plan to add a classify task, just like original YOLO?
I use both classify and detect task from the original yolov8 and would like to replace both with your repo.
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# Cifar
- 由加拿大高级研究所(Canadian Institute for Advanced Research)收集和整理的
- [Cifar10](#Cifar10) 常见的 10种物体
- [Cifar100](#Cifar100) 更精细的 100 类物体
## Cifar10
- 60000 张 32x32 彩色图片
- 10 个种类,每种 6000 …
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(1)Model trained with mnist dataset. For the generated 1000 images,the classification accuracy is 100% for discriminator. For mnist test images, the classification accuracy is 99% for discriminator. G…
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This is a wonderful research idea and thought process.
But I have a question now: Are there many differences between jpeg2dct and cv2.dct with blockwise?
I have used them to do classification on Cif…