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

Submitted: November 01, 2019 Last updated: February 20, 2020
  • File:
    dc-to-edge-course.zip
  • Size:
    250.96 MB
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Detailed 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

  1. Download the course in English or Chinese (Simplified)
  2. Unzip the downloaded file to follow the course content and Jupyter* Notebook
  3. Answer the quiz at the end of the course
  4. Upon completion, you have the option to receive an Intel AI Course Completion Certificate

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804