diff --git a/content/causal-inference-resources/index.md b/content/causal-inference-resources/index.md
index d12fc7cf7..56dcc2390 100644
--- a/content/causal-inference-resources/index.md
+++ b/content/causal-inference-resources/index.md
@@ -4,6 +4,7 @@ author: Yanir Seroussi
aliases:
- /causal-inference-reading-list/
type: page
+summary: Useful books, articles, and courses on the topic of causal inference.
editPost:
disabled: true
diff --git a/content/deep-learning-resources/index.md b/content/deep-learning-resources/index.md
index cd4e5fc30..deaee1a3a 100644
--- a/content/deep-learning-resources/index.md
+++ b/content/deep-learning-resources/index.md
@@ -2,6 +2,7 @@
title: Deep learning resources
author: Yanir Seroussi
type: page
+summary: Useful posts and papers on the topic of deep learning (circa 2015).
date: 2015-07-06T00:38:44+00:00
---
@@ -31,4 +32,4 @@ This page summarises the deep learning resources I've consulted in [my album cov
* Very deep convolutional networks for large scale image recognition (Simonyan and Zisserman, 2014): VGGNet paper – interesting experiments and architectures – deep and homogeneous
* Visualizing and Understanding Convolutional Networks (Zeiler and Fergus, 2013): interesting work on visualisation, but I'll need to apply it to understand it better
- [1]: https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/
\ No newline at end of file
+ [1]: https://yanirseroussi.com/2015/06/06/hopping-on-the-deep-learning-bandwagon/