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DOC: Update the MNIST data link #249

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Feb 11, 2025
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DOC: Update the MNIST data link #249

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2 changes: 1 addition & 1 deletion content/tutorial-deep-learning-on-mnist.md
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Expand Up @@ -62,7 +62,7 @@ This tutorial can be run locally in an isolated environment, such as [Virtualenv

## 1. Load the MNIST dataset

In this section, you will download the zipped MNIST dataset files originally stored in [Yann LeCun's website](http://yann.lecun.com/exdb/mnist/). Then, you will transform them into 4 files of NumPy array type using built-in Python modules. Finally, you will split the arrays into training and test sets.
In this section, you will download the zipped MNIST dataset files originally developed by Yann LeCun's research team. (More details of the MNIST dataset are available on [Kaggle](https://www.kaggle.com/datasets/hojjatk/mnist-dataset).) Then, you will transform them into 4 files of NumPy array type using built-in Python modules. Finally, you will split the arrays into training and test sets.

**1.** Define a variable to store the training/test image/label names of the MNIST dataset in a list:

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