This virtual workshop will cover the Intel AI Analytics Toolkit, oneAPI Data Analytics Library (oneDAL) and the Deep Neural Network Library (oneDNN) as part of the oneAPI training series. Details on each topic are below.
Registration via Teams is required to attend.
Intel® AI Analytics Toolkit: Provides data scientists, AI developers, and researchers familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines on Intel® architectures. The components are built using oneAPI libraries for low-level compute optimizations. This maximizes performance from preprocessing through machine learning.
The Intel® oneAPI IoT Toolkit provides a common set of libraries and tools dedicated to IoT application development and optimization. The toolkit provides software developers with several advantages:
oneAPI Data Analytics Library (oneDAL): Intel oneAPI Data Analytics Library (oneDAL) is a library that helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation.
Intel oneAPI Deep Neural Network Library (oneDNN): Intel oneAPI Deep Neural Network Library (oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel Architecture Processors and Intel Processor Graphics. Deep learning practitioners should use one of the applications enabled with oneDNN.