You signed in with another tab or window.Reload to refresh your session.You signed out in another tab or window.Reload to refresh your session.You switched accounts on another tab or window.Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: content/tutorial-deep-learning-on-mnist.md
+1-1Lines changed: 1 addition & 1 deletion
Original file line number
Diff line number
Diff line change
@@ -62,7 +62,7 @@ This tutorial can be run locally in an isolated environment, such as [Virtualenv
62
62
63
63
##1. Load the MNIST dataset
64
64
65
-
In this section, you will download the zipped MNIST dataset files originallystored in[Yann LeCun'swebsite](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.
65
+
In this section, you will download the zipped MNIST dataset files originallydeveloped byYann LeCun'sresearch 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.
66
66
67
67
**1.** Define a variable to store the training/test image/label names of the MNIST dataset in a list: