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authorTinWoodman92 <chrhodgden@gmail.com>2023-12-14 17:11:32 -0600
committerTinWoodman92 <chrhodgden@gmail.com>2023-12-14 17:11:32 -0600
commit02843201e8091f9cca4f72ced30eb65dc140b764 (patch)
tree72921ed0aef7b10f899e305b2ea22cb8ce5395d7 /projects_blog
parent32934cd1339eabaa5cf717292b926479d54370c3 (diff)
added top nav element and external links open in new tab.
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-rw-r--r--projects_blog/NNetwork.html20
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diff --git a/projects_blog/NNetwork.html b/projects_blog/NNetwork.html
index 00f0c33..4cabed4 100644
--- a/projects_blog/NNetwork.html
+++ b/projects_blog/NNetwork.html
@@ -9,15 +9,23 @@
<h1>NNetwork</h1>
<h3>A simple neural network in R as an R6 class object</h3>
- <a href="https://github.com/chrhodgden/NNetwork">GitHub Repository</a>
- <h2>Background</h2>
+ <nav class="nav-footer">
+ <hr>
+ <a href="#background">Background</a>
+ | <a href="#the-project">The Project</a>
+ | <a href="#next-steps">Next Steps</a>
+ <hr>
+ </nav>
+ <br>
+ <a href="https://github.com/chrhodgden/NNetwork" target="_blank">GitHub Repository</a>
+ <h2 id="background">Background</h2>
<p>
After learning R from a few R tutorials, I decided it was time to learn what machine learning and data science truly was.
I had been putting off looking those up because I didn't feel like I was ready.
I watched a series on neural networks by 3Blue1Brown on YouTube linked below.
<br>
<br>
- <a href="https://youtu.be/aircAruvnKk">
+ <a href="https://youtu.be/aircAruvnKk" target="_blank">
But what is a neural network? | Chapter 1, Deep learning
</a>
<br>
@@ -28,7 +36,7 @@
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>
- <h2>The Project</h2>
+ <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.
This project would be a good demonstration of mixing higher mathmatics with programming, which is what R was built to do.
@@ -40,7 +48,7 @@
I primariliy referenced a series by deeplizard on Neural Networks linked below.
<br>
<br>
- <a href="https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU">
+ <a href="https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU" target="_blank">
Deep Learning Fundamentals - Intro to Neural Networks
</a>
<br>
@@ -52,7 +60,7 @@
I decided to test the network by training it to read binary.
This way I would not have to find or build a database of training data, nor label the data.
</p>
- <h2>Next Steps</h2>
+ <h2 id="next-steps">Next Steps</h2>
<p>
This project was written in December of 2022 and added to GitHub in February of 2023.
The next seps I would like to do would be to formalize the testing process into a Unit Test with the testthat library in R.