mage You create a Pytorch dataloader named trainloader using this dataset with a batch_size of 64. When you create the iterator of the dataloader and invoke its next() method manually, as shown below, what is the shape of the images tensor? dataiter = iter(trainloader) images, labels = dataiter.next() Yanıtınız: O [16, 1, 36, 36] o [64, 1, 64, 64] o [64, 1, 36, 36] [64, 1, 28, 28]

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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A multi-class image classification dataset contains grayscale images of 36x36 pixels.
You create a Pytorch dataloader named trainloader using this dataset with a batch_size of 64.
When you create the iterator of the dataloader and invoke its next() method manually, as shown below, what is the shape of the images tensor?
dataiter = iter(trainloader)
images, labels = dataiter.next()
Yanıtınız:
O [16, 1, 36, 36]
O [64, 1, 64, 64]
O [64, 1, 36, 36]
O [64, 1, 28, 28]
Yanıtı temizle
Transcribed Image Text:A multi-class image classification dataset contains grayscale images of 36x36 pixels. You create a Pytorch dataloader named trainloader using this dataset with a batch_size of 64. When you create the iterator of the dataloader and invoke its next() method manually, as shown below, what is the shape of the images tensor? dataiter = iter(trainloader) images, labels = dataiter.next() Yanıtınız: O [16, 1, 36, 36] O [64, 1, 64, 64] O [64, 1, 36, 36] O [64, 1, 28, 28] Yanıtı temizle
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