The Web Neural Network API (WebNN) brings accelerated machine learning capabilities directly to web applications. With WebNN, developers can harness the power of neural networks within the browser environment, enabling a wide range of AI-driven use cases without relying on external servers or plugins. What is WebNN? WebNN is a JavaScript API that provides a high-level interface for executing neural network inference tasks efficiently on various hardware accelerators, such as CPUs, GPUs, and d...| Web Machine Learning
In the WebNN API, the Operand objects represent input, output, and constant multi-dimensional arrays known as tensors. The NeuralNetworkContext defines a set of operations that facilitate the construction and execution of this computational graph. Such operations may be accelerated with dedicated hardware such as the GPUs, CPUs with extensions for deep learning, or dedicated ML accelerators. These operations defined by the WebNN API are required by models that address key application use case...| Web Machine Learning
A core abstraction behind popular neural networks is a computational graph, a directed graph with its nodes corresponding to operations (ops) and input variables. One node’s output value is the input to another node. The WebNN API brings this abstraction to the web. In the WebNN API, the Operand objects represent input, output, and constant multi-dimensional arrays known as tensors. The NeuralNetworkContext defines a set of operations that facilitate the construction and execution ...| Web Machine Learning