From 2dedc749dea5f3bbe50c0c7b0d09eb16a2d44366 Mon Sep 17 00:00:00 2001 From: "Steven G. Johnson" Date: Fri, 3 Mar 2023 18:23:00 -0500 Subject: [PATCH] rm ref to missing attachment --- psets/pset2sol.ipynb | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/psets/pset2sol.ipynb b/psets/pset2sol.ipynb index aa9aaa8..99c54a5 100644 --- a/psets/pset2sol.ipynb +++ b/psets/pset2sol.ipynb @@ -634,9 +634,7 @@ "\n", "In this problem you will use **principal components analysis (PCA)** and the SVD to classify a images.\n", "\n", - "The code below downloads a [collection of 80 monochrome/grayscale drawings](https://math.mit.edu/~stevenj/snow.zip) of [snowpeople](https://en.wikipedia.org/wiki/Snowman) and [snowflakes](https://en.wikipedia.org/wiki/Snowflake) found by a google image search in Spring 2023, shown in miniature here:\n", - "\n", - "![image.png](attachment:image.png)\n", + "The code below downloads a [collection of 80 monochrome/grayscale drawings](https://math.mit.edu/~stevenj/snow.zip) of [snowpeople](https://en.wikipedia.org/wiki/Snowman) and [snowflakes](https://en.wikipedia.org/wiki/Snowflake) found by a google image search in Spring 2023.\n", "\n", "Each image is resized to a common size of $156 \\times 128$, and then reshaped into a vector of $156\\times 156 = 19968$ numbers (the grayscale intensity of each pixel), and stored in a matrix $X$ of \"measurements\" for 80 images:\n", "$$\n",