它是大量数据的集合，在机器学习里，能用于训练模型，让模型从数据中学习模式与规律；在数据分析中，可用来验证算法，为算法的可靠性提供依据，同时也能基于这些数据进行预测。 一个高质量的数据集，包含丰富且全面的信息，能够为模型的训练和验证 ...

EMNIST dataset from https://www.nist.gov/itl/products-and-services/emnist-dataset has 240000 images, but C++ PyTorch has hardcoded to load only the 60000 dataset. The ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...

降维是在我们处理包含过多特征数据的大型数据集时使用的，提高计算速度，减少模型大小，并以更好的方式将巨大的数据集可视化。这种方法的目的是保留最重要的数据，同时删除大部分的特征数据。 在这个教程中，我们将简要地学习如何用Python中的稀疏和 ...

I'm a full stack developer getting started with Deep Learning and sharing my learnings along the way. I'm a full stack developer getting started with Deep Learning and sharing my learnings along the ...

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