From 0a878f1f1833dac8c1b8b9147ece2c2e0702deca Mon Sep 17 00:00:00 2001
From: TinWoodman92 <chrhodgden@gmail.com>
Date: Sat, 13 Jan 2024 20:42:05 -0600
Subject: Added trained nn image

---
 img/trained-nn.jpg          | Bin 0 -> 3162010 bytes
 projects_blog/NNetwork.html |  12 +++++++++++-
 style.css                   |   7 ++++++-
 3 files changed, 17 insertions(+), 2 deletions(-)
 create mode 100644 img/trained-nn.jpg

diff --git a/img/trained-nn.jpg b/img/trained-nn.jpg
new file mode 100644
index 0000000..46f62a4
Binary files /dev/null and b/img/trained-nn.jpg differ
diff --git a/projects_blog/NNetwork.html b/projects_blog/NNetwork.html
index 6e10434..e1fd16e 100644
--- a/projects_blog/NNetwork.html
+++ b/projects_blog/NNetwork.html
@@ -4,7 +4,7 @@
 	<meta name="viewport" content="width=device-width, initial-scale=1.0">
 	<title>chrhodgden - NNetwork</title>
 	<link rel="icon" type="image/svg+xml" href="../img/favicon.svg">
-	<link rel="stylesheet" href="../style.css"/>
+	<link rel="stylesheet" href="../style.css">
 	<style>
 		:root {
 			--theme-color-check: 0;
@@ -45,6 +45,16 @@
 		This video series applied old and familiar concepts of linear algebra and multivariable calculus that I had learned in college.
 		Knowing that there were applications of this with data and programming inspired me to try to write some libraries from scratch.
 	</p>
+	
+	<figure	class="project">
+		<img 
+			src="../img/trained-nn.jpg" 
+			alt="Trained Neutal Network"
+			height="300"
+		>
+		<figcaption>My first trained neural network!</figcaption>
+	</figure>
+
 	<h2 id="the-project">The Project</h2>
 	<p>
 		I chose R to do this rather than Python because I wanted to build experience with R. 
diff --git a/style.css b/style.css
index 4678389..884f9cd 100644
--- a/style.css
+++ b/style.css
@@ -148,5 +148,10 @@ a:hover {
 
 img.self-portrait {
 	float: right;
-	margin-right: 1rem;
+	margin: 0.5rem;
+}
+
+figure.project {
+	float: right;
+	margin: 0.5rem;
 }
\ No newline at end of file
-- 
cgit v1.2.3