Learn how to harness the power of machine learning in JavaScript using TensorFlow.js to achieve superpowers in the browser and beyond. This course will teach you how to do computer vision in the browser, enabling you to create creative prototypes and explore object recognition, face mesh, body segmentation, and more. By the end of the course, you will be able to run, retrain, and write your own models, as well as utilize TensorFlow.js APIs for model inference performance. The teaching method includes demonstrations, hands-on exercises, and real-time examples. This course is designed for individuals with familiarity with JavaScript who are interested in exploring machine learning in a web development context.
Overview
Syllabus
Intro
Use ML anywhere JavaScript can run
Run, Retrain, Write Reuse existing models, or create your own
For anything you may dream up
Object Recognition
Face Mesh
Body Segmentation Distinguish 24 body areas, across multiple bodies, real time.
With a little bit of creativity...
Invisibility Made in just 1 day of coding
Teleportation
Combine with other web tech Such as clothing size estimation
Teachable Machine Transfer Learning
Cloud Auto ML
Code
TensorFlow.js APIs
Model Inference Performance Only Server
Hugging Face DistilBERT 2x Perf boost using Node.js
3 client side super powers
Server side / Node.js benefits That make TensorFlow.js easy to use
What will you make?
Taught by
TensorFlow
