Search Results for "learn"

...Leave abstractions behind and build custom elements with HTML, JavaScript, and CSS. Lightning web components are custom elements built using HTML and modern JavaScript. Ready to learn more? Check out the Developer Guide and write code in the Playground. You’ll be up and running in no time. Create fast, versatile web components and apps using the stack and tools your team prefers. Shape the framework through your pull requests and help push native Web Components forward. Use the latest web standards to build robust components that run in modern browsers and IE 11. ...

...ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. ...

...PEARL is an abbreviation for "(P)rocess and (E)xperiment (A)utomation (R)ealtime (L)anguage". It was designed around 1975 at the IRT Institute of the Leibniz University in Hannover with the idea in mind to have an easy to learn programming language for realtime problems. For more, also historical information please visit (http://www.pearl90.de/). In 1998 PEARL-90 was standardized by the Deutsches Institut für Normung e.V. in DIN 66253-2. PEARL provides the standard data types and structures known from other procedural languages like e.g. PASCAL. Additionally PEARL brings special language constructs for managing real-time and multitasking tasks.