pytorch-image-classification

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> The images in the CIFAR10 dataset are significantly more complex than the MNIST dataset. They are larger, have three times the amount of pixels and are more cluttered. This...

yf291115925

need more advance model

2

cysjtu

train and test dataset with self task： total 177 images （12classes classification） epoch trainning statitics：train and test top-5 accieved 90%+ but not get the correct prediction result？ anyone can make...

aibama

i had run throught 5_resnet.ipynb code with own image，and want to classify 14classes，but had no idea how to inference one image，any help were appreciated！！thx

aibama

Great set of tutorials. However, it is so difficult to find tutorials that don't crash the system. In the case of your MLP tutorial (the first one), all goes well...

erlebach

RuntimeError: mat1 dim 1 must match mat2 dim 0

2

Hi, @bentrevett, I met another issue in running the colab of Alexnet. My amount of classe is 4, so i modified the `OUTPUT_DIM = 4` only without anything else changed,...

wwdok

Question about data augmentation in your ResNet image classifier example

2

Hello Ben - how can we remove the data augmentation step in your ResNet example? I need to pass the entire image in the training (no cropping). I tried to...

jossgillet

Remark : Reproducibility is broken.

1

In notebooks you say: "To ensure we get reproducible results we set the random seed for Python, Numpy and PyTorch.". But if you do it in a cell of a...

Tikquuss

Hi this is a really great repo with detailed explanation. I'm trying to using the CUB200 dataset from the 5-ResNet example with 4-VGG net, however what I find is with...

iamzifei

value error

10

hello, Whenever I am trying to run with iterator it is showing error --------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () 7 start_time = time.time() 8 ----> 9 train_loss,...

Rukhmini