WebNN Code Editor
Evaluate, review and modify WebNN sample codes interactively in web browser.
WebNN Samples
See samples built with WebNN API. Usually the best and recommended way to leverage
WebNN capabilities
and performance for your web applications is to use TensorFlow.js or other JavaScript library that
integrates
WebNN API directly. You can also build web applications powered by WebNN from scratch without using ML
JavaScript libraries.
WebNN Samples
continuously updated to follow the latest WebNN spec
Image Classfication
Classifying the major object in the image into a set of pre-defined classes.
Handwritten Digits Classification
Use LeNet to classify handwritten digits from the clasic MNIST example data set.
Fast Style Transfer
Applying the STARRY NIGHT and other painting styles of Van Gogh to your image.
Noise Suppression (NSNet2)
A NSNet2 baseline implementation of deep learning-based noise suppression.
Noise Suppression (RNNoise)
An RNNoise baseline implementation of deep learning-based noise suppression.
Object Detection
Detecting instances of semantic objects of a certain class in digital images and videos.
Semantic Segmentation
Partitioning image into semantically meaningful parts to classify each part into pre-determined class.
Facial Landmark Detection
Detecting facial landmarks like eyes, nose, mouth, etc., which can be used for web-based try-on simulator of online store.
Face Recognition
Detecting faces of participants using object detection and checking whether each face was present or not.