Uploaded July 2023 | Updated September 2026, 2 weeks ago
We now move away from the K Nearest Neighbor classifier to explore another way of performing classification: the Neural Network classifier (also called Multilayer Perceptron).
The Course: youtube.com/playlist?list=PLB0Tybl0UNfYe9aJXfWw-Dw_4VnFrqRC4
💻 Code
github.com/gniziemazity/ml-course-phase-2
✔️ Use P6 to follow along
✔️ P7 is the code after this lesson
💻 Neural Network Code
github.com/gniziemazity/neural-network
Relevant lessons from the Self-driving Car course:
Implementing a Neural Network: youtu.be/Ve9TcAkpFgY
Visualizing Neural Networks: youtu.be/lok3RVBwSqE
The Self-driving Car course:
youtube.com/playlist?list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
⭐️TIMESTAMPS⭐️
00:00 Course Introduction
04:41 Neural Network Code Review
06:57 MLP Classifier
13:23 Shoutout to @Leocesar3D-mx6rm
13:29 Naïve Optimization and Storing the Model
25:09 Visualizing the Neural Network
32:11 User Interface Updates
33:53 Analysis and Discussion
We now move away from the K Nearest Neighbor classifier to explore another way of performing classification: the Neural Network classifier (also called Multilayer Perceptron).
The Course: youtube.com/playlist?list=PLB0Tybl0UNfYe9aJXfWw-Dw_4VnFrqRC4
💻 Code
github.com/gniziemazity/ml-course-phase-2
✔️ Use P6 to follow along
✔️ P7 is the code after this lesson
💻 Neural Network Code
github.com/gniziemazity/neural-network
Relevant lessons from the Self-driving Car course:
Implementing a Neural Network: youtu.be/Ve9TcAkpFgY
Visualizing Neural Networks: youtu.be/lok3RVBwSqE
The Self-driving Car course:
youtube.com/playlist?list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
⭐️TIMESTAMPS⭐️
00:00 Course Introduction
04:41 Neural Network Code Review
06:57 MLP Classifier
13:23 Shoutout to @Leocesar3D-mx6rm
13:29 Naïve Optimization and Storing the Model
25:09 Visualizing the Neural Network
32:11 User Interface Updates
33:53 Analysis and Discussion
![A Virtual World - JavaScript Course: Lesson 9 / 11 [Self-driving Car Integration]](https://i.ytimg.com/vi/wH2aNJxltus/mqdefault.jpg "A Virtual World - JavaScript Course: Lesson 9 / 11 [Self-driving Car Integration]
Welcome to the course where we build a self-driving car simulation in a virtual world using HTML, CSS and JavaScript. Today we’ll take the final code from Phase 1 and add everything we coded now, in Phase 2, next to it. We’ll first strip the code from phase 1 of some unnecessary things and then make the car move in the new virtual world.
Have Fun :-)
⭐PLAYLIST⭐
https://www.youtube.com/playlist?list=PLB0Tybl0UNfZtY5IQl1aNwcoOPJNtnPEO
⭐FINAL APP⭐
https://radufromfinland.com/projects/virtualworld
💻CODE💻
https://github.com/gniziemazity/virtual-world
8. Saving The World = follow along
9. Integration = code after this lesson
💻CODE WE NEED FROM PHASE 1💻
https://github.com/gniziemazity/Self-driving-car
Well use: 9. Fine-tuning
⭐ALL PREREQUISITES⭐
https://www.youtube.com/playlist?list=PLB0Tybl0UNfZ3nnHVg8SJ4uK3R4QD6R0H
☕Buy me a Coffee?☕
https://www.buymeacoffee.com/radum
⚡️Join this Channel⚡️
https://youtube.com/@radu/join
⭐Timestamps⭐
00:00 Introduction
00:47 Combined Project Setup
01:25 Stripping unnecessary Self-driving Code
04:52 Integrating the World Code
19:24 Making the car see Buildings
20:51 Making the car see Road Borders
21:35 Artificial Intelligence")
