5.2: Make your own Teachable Machine for image classification - transfer learning on the web in JS

Channel:
United States Google for Developers
Subscribers:
2,510,000
Published on ● Video Link: https://www.youtube.com/watch?v=VHlCxLlTZBg


Duration: 24:23
3,035 views
79

In this video learn how to re-create the popular Teachable Machine website for the purpose of recognizing any object via image classification. Here you will use the MobileNet base model, chop off the classification head, and then replace it with your own new classification head for the task that you want to solve - recognizing a custom object it never saw before! Even better this will all happen in less than a minute on most machines, right in your web browser with TensorFlow.js.

Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → https://goo.gle/developers

Connect with Jason Mayes to ask questions:
LinkedIn → https://goo.gle/3GwgeLw
Twitter →https://goo.gle/3Xh6MT7
Discord →https://goo.gle/3WWVO5t

Use #WebML to share your learnings and creations from this course to meet your peers on social media!

See what others have already made with Web ML → http://goo.gle/made-with-tfjs



Other Videos By Google for Developers


2023-02-106.5: Dealing with edge cases in spam detection
2023-02-106.4.1: Using a natural language model: Comment spam detection - setting up the web scaffolding
2023-02-106.4.4: Using a natural language model: Comment spam detection - web sockets
2023-02-106.3: Natural language processing (NLP) - understanding written text
2023-02-106.4.2: Using a natural language model: Comment spam detection - loading a pretrained NLP model
2023-02-106.4.3: Using a natural language model: Comment spam detection - word tokenization
2023-02-106.6: Using a retrained spam detection model in the web browser with TensorFlow.js
2023-02-096.1: Using models from Python in the web browser with TensorFlow.js
2023-02-096.2: Converting Python saved models with the TensorFlow.js command line converter
2023-02-09Connect, learn, and grow with Google Developer Student Clubs
2023-02-085.2: Make your own Teachable Machine for image classification - transfer learning on the web in JS
2023-02-085.3: Using layers models for transfer learning
2023-02-075.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js
2023-02-06Google Summer of Code 2023 #Shorts
2023-02-06Google Summer of Code 2023, Cloud Workstations, and more dev news
2023-02-06What does it mean to be a Google Developer Expert (GDE)?
2023-02-064.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
2023-02-064.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
2023-02-064.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js
2023-02-064.6.1: Multi-layer perceptrons for classification
2023-02-064.5.2: Multi-layer perceptrons - Deep neural networks for non linear data


Tags:
Google
developers
machine learning for web developers
ml for web developers ml web dev
web machine learning
web ml
tensorflow
tensorflow.js
machine learning course
tensorflow.js course
machine learning courses for web developers
introduction to machine learning with javascript