HI,
I am learning PyTorch and tested some neural networks with MINST data.
Now I go for a test against custom datasets by referring to MINST data structure, but I cannot see the structure.
train_dataset = MNIST(’./data’, download = False, transform = img_transform)
results in:
Dataset MNIST
Number of datapoints: 60000
Split: train
Root Location: ./data
Transforms (if any): Compose(
ToTensor()
Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5))
)
Target Transforms (if any): None
and train_loader returns
<torch.utils.data.dataloader.DataLoader at 0x29fe1525860>
Moreover, the Root Location ./data have ‘raw’ and ‘processed’ folders.
Are both of them MNIST data to be used?
How can I see the data structure of MNIST precisely and create my original dataset to be used by the same procedure?
Thank you for advance:)
Petro