Thanks FreeCodeCamp for the opportunity and you all for checking out the video! Hope this helps breakdown machine learning a bit for my fellow Web Dev friends :D
I was just thinking about how I could use machine learning with js for my websites. People weren’t lying when they say you make the right videos at the right time. 😂
00:04 - Introduction to machine learning with the ml5.js JavaScript library. 01:57 - Cloning a GitHub repo to practice machine learning projects in JavaScript. 05:34 - Machine learning relies on features and weights to determine important outcomes. 07:18 - Neural networks process inputs to generate predictions through a structured training cycle. 10:43 - Improving machine learning models with quality data and TensorFlow.js integration. 12:31 - Overview of downloading models and integrating them into a rock-paper-scissors game. 16:17 - Using ml5.js for real-time video classification in JavaScript. 17:57 - Real-time gesture recognition enhances interactivity in applications. 21:25 - Setting up an image classifier with ml5.js and MobileNet. 23:17 - Demonstrated image classification challenges and introduced transfer learning in machine learning. 26:51 - Evaluating prediction accuracy in machine learning using ml5.js. 28:27 - Uploading images initializes and trains a machine learning model for predictions. 31:58 - Launching predictions after training with ml5.js is simple and efficient. 33:55 - Model training and accuracy validation using transfer learning. 37:20 - Using ml5.js to predict student exam scores based on study habits. 39:04 - Setting up neural networks for classification and regression in ml5.js. 42:32 - Understanding training options: epochs and batch size in machine learning. 44:15 - Understanding data memorization and batch size impact in model training. 47:53 - Integrating and using pre-trained datasets for predictions in JavaScript. 49:43 - Saving trained machine learning models in JavaScript is crucial for future use. 53:13 - Overview of machine learning concepts and practices using ml5.js.
Thanks FreeCodeCamp for the opportunity and you all for checking out the video! Hope this helps breakdown machine learning a bit for my fellow Web Dev friends :D
I was just thinking about how I could use machine learning with js for my websites. People weren’t lying when they say you make the right videos at the right time. 😂
this video is all an absolute beginner needs. thank you sir, brilliant explanation.
thanks I can put this on my resume now
Machine learning in JS. WOW 🤩
Lol its like the murphy law - Everything that can be written in JS will be written in JS.
lol
The good thing about JavaScript is that you can do whatever you want with it. The bad thing is that you will do it. 😆
Thanks for uploading I'm deeply looking for it ❤
Want to see more videos on this
Good tutorial.. Well articulations
00:04 - Introduction to machine learning with the ml5.js JavaScript library.
01:57 - Cloning a GitHub repo to practice machine learning projects in JavaScript.
05:34 - Machine learning relies on features and weights to determine important outcomes.
07:18 - Neural networks process inputs to generate predictions through a structured training cycle.
10:43 - Improving machine learning models with quality data and TensorFlow.js integration.
12:31 - Overview of downloading models and integrating them into a rock-paper-scissors game.
16:17 - Using ml5.js for real-time video classification in JavaScript.
17:57 - Real-time gesture recognition enhances interactivity in applications.
21:25 - Setting up an image classifier with ml5.js and MobileNet.
23:17 - Demonstrated image classification challenges and introduced transfer learning in machine learning.
26:51 - Evaluating prediction accuracy in machine learning using ml5.js.
28:27 - Uploading images initializes and trains a machine learning model for predictions.
31:58 - Launching predictions after training with ml5.js is simple and efficient.
33:55 - Model training and accuracy validation using transfer learning.
37:20 - Using ml5.js to predict student exam scores based on study habits.
39:04 - Setting up neural networks for classification and regression in ml5.js.
42:32 - Understanding training options: epochs and batch size in machine learning.
44:15 - Understanding data memorization and batch size impact in model training.
47:53 - Integrating and using pre-trained datasets for predictions in JavaScript.
49:43 - Saving trained machine learning models in JavaScript is crucial for future use.
53:13 - Overview of machine learning concepts and practices using ml5.js.
Nice course
Thanks for uploading, I was deeply looking for it.
want to see more video of machine learning with javascript
We need same course, but based on C# please.
Very good 👍
He is very well spoken.
thanks for uploading
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Thank you so much !!
Very good tutorial
Bro literally commented 1 minute after it was uploaded
@@im_a_deadshadow
Finally.
WE WANT
Structured ML course with JS/PY with needed Maths,all imp concepts Of ML
🙂❤️
🙏🏻😎
We want assembly 8086 course
There's a 6502 emulator in JS if you're interested! Lol
Can you upload hobo.js full course
Free cookies!
Even I think a cat is a 1% dog 😂
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Interesting but I struggle to follow cause that vocal fry sounds so annoying to me... There's absolutely no reason to do that.
For me it is also complicated to follow because I don't speak english.
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