Welcome to My Learning Notes
A clear, organized space to consolidate knowledge and document the learning process.

Welcome to My Learning Journey#
What is written, analyzed, and reviewed is retained longer. This is where I gather ideas, document knowledge, and sharpen my thinking through writing.
I don't write because I understand — I write to understand.
Core Principles#
- Intentional learning
- Think through writing
- Keep knowledge organized
Intentional learning means revisiting key points at the right time. 1
+ Consistency > intensity
+ Understanding > memorization
- Random learning without purpose What You’ll Find Here#
Knowledge Streams#
- Memorable concepts
- Practical & technical notes
- Tools and mental models
Topics#
- Programming
- Systems thinking
- Productivity & habits
- Personal growth & clarity
Markdown Demo & Style Playground#
This section ensures that Markdown/MDX components work smoothly and maintain a clean design.
Sidenotes#
Sidenotes add context without interrupting the reading flow. 1
Text Styles#
- Bold for emphasis
- Italics for attention
Things I no longer believeinline code
Writing makes knowledge more durable.
Tasks & Planning#
- Initialize this space
- Write and publish regularly
- Review, revise, and iterate
Links & Resources#
Table Example#
| Topic | Level | Target |
|---|---|---|
| Algorithms | Basic | Intermediate |
| System Design | Basic | Intermediate |
| Machine Learning | New | Beginner |
Math#
Inline:
Block:
Code Blocks#
const greet = (name) => `Hello, ${name}!`;interface Entry {
title: string;
tags: string[];
}npm run devexport default function Demo() {
return <p>MDX powers ideas</p>;
}Custom Components#
Modern MDX allows embedding interactive elements directly in posts — very useful for data visualization.
Chart Demo#
Learning cadence
Hours vs. depth over time
A quick glance at how focused study time and comprehension depth can grow alongside consistent practice.
The chart will update with actual data.
Learning Experiments#
Sometimes the best way to learn is through practical experience. Below is a training log from a model experiment — a reminder that progress always comes from small steps.
Small, consistent growth compounds over time.
Epoch 1/5
166/166 ━━━━━━━━━━━━━━━━━━━━ 84s 415ms/step - loss: 0.1110 - val_loss: 0.0959
Epoch 2/5
166/166 ━━━━━━━━━━━━━━━━━━━━ 79s 472ms/step - loss: 0.0874 - val_loss: 0.0802
Epoch 3/5
166/166 ━━━━━━━━━━━━━━━━━━━━ 78s 463ms/step - loss: 0.0789 - val_loss: 0.0765
Epoch 4/5
166/166 ━━━━━━━━━━━━━━━━━━━━ 78s 467ms/step - loss: 0.0769 - val_loss: 0.0731
Epoch 5/5
166/166 ━━━━━━━━━━━━━━━━━━━━ 77s 464ms/step - loss: 0.0753 - val_loss: 0.0712Closing Thought#
Thanks for visiting.
This space will continue to evolve, change, and improve — along with its builder.
Stay curious — and keep learning.
views
— views
Nguyen Xuan Hoa
nguyenxuanhoakhtn@gmail.com