train_dataloader = DataLoader(train_data, batch_size=64, shuffle=True)
时间: 2024-05-19 20:13:50 浏览: 25
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.
相关问题
train_loader = DataLoader(train_data,batch_size = batch_size,shuffle = True)
This line of code creates a DataLoader object named train_loader, which takes in the train_data dataset and splits it into batches of size batch_size. The shuffle parameter is set to True, which means that the order of the data within each batch will be randomized for each epoch during training. This helps to prevent the model from overfitting to the order of the data.
解释一下train_loader = DataLoader(train_data,batch_size = batch_size,shuffle = True)
这行代码是用来创建一个 DataLoader 对象,用于将训练数据集 train_data 分成多个 batch 进行训练。其中,train_data 是指训练数据集,batch_size 是指每个 batch 的大小,shuffle = True 表示每个 epoch(遍历训练集的次数)时都会对数据进行随机打乱,以增加模型的泛化能力。
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