New blog page : 🧠 simple neuron in GO #478

wulfy · 2025-12-12T16:46:03Z

New article about building a simple neuron in GO.
The goal is to describe basics concepts of a single neuron which is the base of neural networks.

aws-amplify-eu-west-3 · 2025-12-12T16:47:54Z

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_posts/2025-10-10-AI-neural-in-go-on-collab.md

images/posts/2025-10-10-AI-neural-in-go-on-collab/GO_simple_neuron.ipynb

pmartin

A general comment: in markdown, line breaks do not translate to line breaks in the output.

You need either an empty line to create a new paragraph, or two spaces at the end of a line to create a line break.

pmartin · 2026-01-07T07:46:07Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+
+It uses "deep learning concept" in "machine learning".
+To do so I will guide you with an example in GO running in a Google Colab environment.
+Why go? Because when we talk about AI, most of the time you have code in python but we hardly use GO at Bedrock.


"we hardly use GO" → are you sure this means what you want? I understand this as "nous utilisons à peine Go", which I don't think is what you meant?

pmartin · 2026-01-07T07:46:46Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+Deep learning is a part of the AI family.
+![deep-learning](/images/posts/2025-10-10-AI-neural-in-go-on-collab/deep-learning.png)
+
+I will not give a detailed definition about IA or machine learning, because it's not the purpose of this article. 


Suggested change

I will not give a detailed definition about IA or machine learning, because it's not the purpose of this article.

I will not give a detailed definition about AI or machine learning, because it's not the purpose of this article.

pmartin · 2026-01-07T07:47:16Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+I will not give a detailed definition about IA or machine learning, because it's not the purpose of this article. 
+I will just give some definitions about AI and machine learning to help understanding what lies behind these terms.
+
+**AI**


This list of definitions needs reformating: it is currently displayed as a single paragraph.

pmartin · 2026-01-07T07:48:30Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+
+As you can see, what we recently call "AI" (LLM and image generation) are a small part of AI. Their common point is learning by minimizing an error which looks like the way humans learn but in fact it's slightly different.
+Modern AI are using different "systems" to encode input and learn how to find the right solution.
+This post will focus on the base of the system : how it computes an output from an input?


Suggested change

This post will focus on the base of the system : how it computes an output from an input?

This post will focus on the base of the system : how does it compute an output from an input?

pmartin · 2026-01-07T07:51:22Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+Of course there is several easy ways to resolve it and maybe you will use mathematics to find these solutions.
+But don't forget our neuron is "naïve", it does not know anything about maths or equations. It will just learn with the fail/retry method.
+
+### How a neuron "learn"


Suggested change

### How a neuron "learn"

### How a neuron "learns"

pmartin · 2026-01-07T07:57:26Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+Then you have the neuron.go file which describe the neuron model.
+
+```
+%%writefile neurone.go


code uses neurone.go but the text before it says neuron.go

pmartin · 2026-01-07T07:58:42Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+![colab](/images/posts/2025-10-10-AI-neural-in-go-on-collab/run_code_icon.png)
+
+### Results
+for each runned part, you will get an output.


Suggested change

for each runned part, you will get an output.

For each part run, you will get an output.

pmartin · 2026-01-07T07:59:02Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+### Results
+for each runned part, you will get an output.
+
+for neurone.go file you'll have a message to confirm the file creation (or overwrite if you already loaded it)


Suggested change

for neurone.go file you'll have a message to confirm the file creation (or overwrite if you already loaded it)

For `neurone.go` file you'll have a message to confirm the file creation (or overwrite if you already loaded it)

pmartin · 2026-01-07T08:00:00Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+
+If you try it: 1*0.06826215000443395 + 2*1.4283067951201867 + 2.07460060154341 and you get 4,999476341788217 🎉
+
+You can also see the "loss" decreasing during the learning phase : The more the neuron learn the less the value of the loss is and the more the accuracy is !


Suggested change

You can also see the "loss" decreasing during the learning phase : The more the neuron learn the less the value of the loss is and the more the accuracy is !

You can also see the "loss" decreasing during the learning phase: the more the neuron learns, the less the value of the loss is and the more the accuracy is !

pmartin · 2026-01-07T08:00:27Z

_posts/2025-10-10-AI-neural-in-go-on-collab.md

+## 👨🏻‍🏫 Conclusions
+As you can see, a neuron can learn without any knowledge, just by giving it data and applying mathematical concepts to make it "learn".
+If you launch multiple times the learning process, you may find a different result (because initial values may vary).
+In fact, this example is useless in the real world because we can resolve the problem by ourselves. This is why "neural networks", used in most AI like text generation, image detection or generation, are using thousand of neuron!


Only thousands?

github-actions bot added the Size/L label Dec 12, 2025

t-geindre reviewed Dec 17, 2025

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New blog page : 🧠 simple neuron in GO

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wulfy force-pushed the Simple-neuron-go branch from d7449c0 to 6e29e4f Compare December 19, 2025 15:59

fix: preview

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pmartin reviewed Jan 7, 2026

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	I will not give a detailed definition about IA or machine learning, because it's not the purpose of this article.
	I will not give a detailed definition about AI or machine learning, because it's not the purpose of this article.

	This post will focus on the base of the system : how it computes an output from an input?
	This post will focus on the base of the system : how does it compute an output from an input?

	for each runned part, you will get an output.
	For each part run, you will get an output.

	for neurone.go file you'll have a message to confirm the file creation (or overwrite if you already loaded it)
	For `neurone.go` file you'll have a message to confirm the file creation (or overwrite if you already loaded it)


		If you try it: 10.06826215000443395 + 21.4283067951201867 + 2.07460060154341 and you get 4,999476341788217 🎉

		You can also see the "loss" decreasing during the learning phase : The more the neuron learn the less the value of the loss is and the more the accuracy is !

New blog page : 🧠 simple neuron in GO #478

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