December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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PyTorch dataset loaders
Pytorch includes data loaders for several datasets to help you get started. The torch.dataloader is the class used for loading datasets. The following is a list of the included torch datasets and a brief description:
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MNIST |
Handwritten digits 1–9. A subset of NIST dataset of handwritten characters. Contains a training set of 60,000 test images and a test set of 10,000. |
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Fashion- MNIST |
A drop-in dataset for MNIST. Contains images of fashion items; for example, T-shirt, trousers, pullover. |
|
EMNIST |
Based on NIST handwritten characters, including letters and numbers and split for 47, 26, and 10 class classification problems. |
|
COCO |
Over 100,000 images classified into everyday objects; for example, person, ... |
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