From c2cd16e922cb8abe206a51e03ae4b711e2c0fba9 Mon Sep 17 00:00:00 2001 From: TinWoodman92 Date: Thu, 14 Dec 2023 17:32:01 -0600 Subject: cleaned up

element usage. --- projects_blog/NNetwork.html | 39 +++++++++++++++++---------------------- 1 file changed, 17 insertions(+), 22 deletions(-) (limited to 'projects_blog') diff --git a/projects_blog/NNetwork.html b/projects_blog/NNetwork.html index 4cabed4..747eb85 100644 --- a/projects_blog/NNetwork.html +++ b/projects_blog/NNetwork.html @@ -3,7 +3,6 @@ chrhodgden - NNetwork - @@ -23,16 +22,14 @@ 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. -
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- - But what is a neural network? | Chapter 1, Deep learning - -
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+ + But what is a neural network? | Chapter 1, Deep learning + +

"Oh, I can do that." I immediately thought to myself. -
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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.

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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. -
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I did not follow any programming tutorials when developing this. My primary intention was to familiarize myself with the math behind these concepts. I wrote out as much of the program that made sense to me and then referenced YouTube for more detailed topics as I came to them. I primariliy referenced a series by deeplizard on Neural Networks linked below. -
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- - Deep Learning Fundamentals - Intro to Neural Networks - -
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+ + Deep Learning Fundamentals - Intro to Neural Networks + +

This series was helpful and taught me about weights and bias initialization, the learning rate, and walked the tedious math sequences in a way that I could follow with my code. -
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One idea I came up with myself was simple testing process to verify the project worked. 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. @@ -75,6 +70,6 @@ | Top of Page

- + \ No newline at end of file -- cgit v1.2.3