Course: AI From the Data Center to the Edge - An Optimized Path Using Intel® Architecture

Description

An overview of Intel® AI portfolio with an emphasis on solving deep learning problems. Dataset preparation for model consumption – including preprocessing and data augmentation techniques. Decision metrics for choosing a framework and network (topology). How to train and deploy deep learning models using the Intel AI portfolio. Instructions Download the course in English or Chinese (Simplified) Unzip the downloaded file to follow the course content and Jupyter* Notebook Answer the quiz at the end of the course Upon completion, you have the option to receive an Intel AI Course Completion Certificate