Learn how to use ml5.js for machine learning with JavaScript. ML5.js is built on top of TensorFlow.js, providing a simplified interface for integrating machine learning models into web applications. This course will guide you through the basics of using ML5.js to create interactive and intelligent web experiences, even if you have no prior experience with machine learning.
? Code: https://github.com/ousecTic/ml5js-course
Course developed by @TheQuackLearner
⭐️ Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (01:43) Prerequisites
⌨️ (02:44) Beginner Guide to Machine Learning
⌨️ (08:54) Understanding Teachable Machine and the TensorFlow.js File structure
⌨️ (13:03) Teachable Machine Rock, Paper, Scissors Game
⌨️ (19:09) Pre-trained Model Explanation
⌨️ (20:33) Mobilenet Image Recognition Project
⌨️ (24:03) Transfer Learning Explanation
⌨️ (27:31) Build Mini Teachable Machine Clone
⌨️ (35:06) Common Misconceptions of Transfer Learning
⌨️ (36:50) Custom Model Student Score Prediction Demo
⌨️ (38:18) Custom Model Student Score Prediction Project
⌨️ (47:34) Using Kaggle Dataset and Saving our Model
⌨️ (53:03) Closing
? Thanks to our Champion and Sponsor supporters:
? davthecoder
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? 南宮千影
? Agustín Kussrow
? Nattira Maneerat
? Heather Wcislo
? Serhiy Kalinets
? Justin Hual
? Otis Morgan
? Oscar Rahnama
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