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authorTinWoodman92 <chrhodgden@gmail.com>2024-01-13 20:42:05 -0600
committerTinWoodman92 <chrhodgden@gmail.com>2024-01-13 20:42:05 -0600
commit0a878f1f1833dac8c1b8b9147ece2c2e0702deca (patch)
tree33b150b22b27ec8a4c828023d211b8f2b96f4966 /projects_blog/NNetwork.html
parent5be7c680574d9214b40101890969a6883ac95385 (diff)
Added trained nn image
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diff --git a/projects_blog/NNetwork.html b/projects_blog/NNetwork.html
index 6e10434..e1fd16e 100644
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@@ -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.