Machine Learning in JavaScript with ml5.js

Dive into machine learning with JavaScript using ml5.js in this comprehensive 54-minute video tutorial. Explore the basics of integrating machine learning models into web applications through a simplified interface built on TensorFlow.js. Learn to create interactive and intelligent web experiences, starting with an introduction to machine learning concepts and progressing to hands-on projects. Build a rock-paper-scissors game using Teachable Machine, implement image recognition with MobileNet, and develop a mini Teachable Machine clone. Gain insights into transfer learning, tackle common misconceptions, and create a custom model for student score prediction. Conclude by utilizing Kaggle datasets and saving your models. Access accompanying code on GitHub and benefit from a structured curriculum suitable for beginners with no prior machine learning experience.

⌨️ Introduction
⌨️ Prerequisites
⌨️ Beginner Guide to Machine Learning
⌨️ Understanding Teachable Machine and the TensorFlow.js File structure
⌨️ Teachable Machine Rock, Paper, Scissors Game
⌨️ Pre-trained Model Explanation
⌨️ Mobilenet Image Recognition Project
⌨️ Transfer Learning Explanation
⌨️ Build Mini Teachable Machine Clone
⌨️ Common Misconceptions of Transfer Learning
⌨️ Custom Model Student Score Prediction Demo
⌨️ Custom Model Student Score Prediction Project
⌨️ Using Kaggle Dataset and Saving our Model
⌨️ Closing