Deep Learning Project Four: Create a custom dataset dataset, DataLoader

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Deep Learning Project Four: Create a custom dataset dataset, DataLoader

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Deep Learning Project Four: Create a custom dataset dataset, DataLoader
foreword
1. Build the basic class of dataset
2. Create train_dataset, test_dataset and corresponding DataLoader
3. All codes

foreword

After building the neural network structure model, it is necessary to perform input training iterations on the data, and it is necessary to build the dataset and DataLoader of the data set. If the dataset used is torch's built-in dataset, you can directly inherit the dataset and DataLoader of torch.utils.data to complete training and evaluation.
This project mainly explains how to build a custom dataset dataset and DataLoader for your own dataset.

1. Build the basic class of dataset

To build the basic class of dataset

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Origin blog.csdn.net/m0_60890175/article/details/131749936

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