mnist.train.next_batch
时间: 2023-04-20 09:00:55 浏览: 62
mnist.train.next_batch 是 TensorFlow 中用于读取 MNIST 数据集的一种方法。它返回一个元组,包含了当前 batch 的训练数据和标签。例如,若调用 next_batch(100),则返回一个包含 100 个训练样本和对应标签的元组。
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batch_xs, batch_ys = mnist.train.next_batch(200)
This line of code is used in machine learning for loading and retrieving a batch of training data from the MNIST dataset.
MNIST (Modified National Institute of Standards and Technology) is a large dataset of handwritten digits that is commonly used as a benchmark for training and testing machine learning algorithms.
In this line of code, the "mnist.train" object refers to the training set of the MNIST dataset. The "next_batch(200)" method is used to retrieve a batch of 200 images and labels from the training set. The "batch_xs" variable stores the 200 images in the batch, while the "batch_ys" variable stores the corresponding labels.
This batch of data can then be used to train a machine learning model, such as a neural network, to recognize and classify handwritten digits.
分析这句代码:batch_xs, batch_ys = mnist.train.next_batch(100)
这是一个使用MNIST数据集进行训练的机器学习模型的代码,batch_xs是包含100张手写数字图片的训练集,batch_ys是这100张图片对应的数字标签。mnist.train.next_batch(100)是用于从MNIST数据集中读取下一个批次的图片和标签。