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  2. Dataset vs. data set - WordReference Forums

    forum.wordreference.com/threads/dataset-vs-data-set.1118035

    Senior Member. France. France, Français. Oct 4, 2008. #5. For me, a dataset is a common name used to talk about data that come from the same origin (are in the same file, the same database, etc.) while a data set is a more general set of data. Dataset designate the common source of data.

  3. This approach is not needed in or on this dataset

    forum.wordreference.com/threads/this-approach-is-not-needed-in-or-on-this...

    The members of the dataset are in the dataset, but you use a method on something: on a value, on a set of ...

  4. 如何用dataset加载mnist? - 知乎

    www.zhihu.com/question/343400301

    首先去 图灵社区-图书 (ituring.com.cn) 右侧的随书下载,下载这个压缩包. 然后解压之后将dataset这个文件放到你所写代码的同级目录中. 然后运行代码就完事了. 发布于 2021-07-18 12:20. 请问我pip下载了dataset,但是from dataset.mnist import load_mnist出错,该怎么办呢?.

  5. The experiment was run <in / on> the whole dataset

    forum.wordreference.com/threads/the-experiment-was-run-in-on-the-whole-dataset...

    Massachusetts, U.S. English - U.S. Feb 21, 2014. #3. You could do statistical experiments and analyses on a dataset. Presumably that dataset reflects something in the real world, but as far as its user is concerned, that's irrelevant. In any case, the correct preposition is on. K.

  6. 发布于 2022-04-05 07:42. 雲飛. 不建议将所有的数据一股脑的做成一个dataset,再去分dataset比较麻烦,而且拥有不同类别的数据时,比较难做到每个类别按照一定比例均分,建议先处理原始数据,将原始数据按照自己的想法分成训练集和验证集,再去制作训练集和 ...

  7. 使用Dataset和Dataloader类的原因 (Why) 如何使用Dataset和Dataloader类 (How) 使用这两个类在典型深度学习训练流程中处于哪个环节 (Practice) 1. 为什么要使用Dataset和Dataloader类? 在阅读别人深度学习代码的时候应该会有过这种感受:这些数据的处理到底是在干嘛?

  8. seaborn怎么调用自带的数据集? - 知乎

    www.zhihu.com/question/391125751

    seaborn内置了十几个示例数据集,通过 load_dataset 函数可以调用。. 其中包括常见的泰坦尼克、鸢尾花等经典数据集。. # 查看数据集种类 import seaborn as sns sns.get_dataset_names() import seaborn as sns # 导出鸢尾花数据集 data = sns.load_dataset('iris') data.head()

  9. 有人用过voxceleb dataset? - 知乎

    www.zhihu.com/question/265820133

    链接:. VoxCeleb dataset. VoxCeleb数据集特性:. 1、属于完全的集外数据集 in the Wild,音频全部采自YouTube,是从网上视频切除出对应的音轨,再再根据说话人进行切分;. 2、属于完全真实的英文语音;. 3、数据集是文本无关的;. 4、Speakers总数1,251,句子总数153,516,时 ...

  10. dataloader作用是把torchvision.dataset装载的数据按训练等要求装载,供下游的深度学习等场景使用。. 比如:按几次批加载、加载时epoch设置为多少等. 从数据集准备、数据集处理与实例化,数据集加载,后面就是送入深度学习模型等下游业务进行数据训练了 ...

  11. dataset = Dataset (data) dataloader = DataLoader (dataset, batch_size = 32, shuffle = True, num_workers = 4, collate_fn = my_collate) def my_collate (batch): len_batch = len (batch) # original batch length batch = list (filter (lambda x: x is not None, batch)) # filter out all the Nones if len_batch > len (batch): # source all the required ...