train_dataloader = DataLoader(train_data, batch_size=64, shuffle=True)

This line of code creates a DataLoader object called "train_dataloader" which takes in "train_data" as the dataset to load. It specifies a batch size of 64, meaning that the data will be loaded in batches of 64 samples at a time. The "shuffle=True" argument indicates that the order of the samples within each batch will be randomized during training, which helps to prevent the model from overfitting to any particular order of the data.