Intel AI Developer Workshop

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Details

[Important] To register, please complete 'Intel AI Developer Workshop - Prework' course here: https://makerspace.aisingapore.org/courses/ai-on-intel-workshop-pre-work/

In this hands-on workshop, you will learn how to build a deep learning model and deploy to the edge.

Intel’s AI Portfolio

• Hardware: From training to inference with emphasis on 2nd Gen Intel® Xeon™ Scalable Processors

• Software: Frameworks, libraries and tools optimized for Intel® Architecture

• Community resources: Intel Developer Zone Resources

Exploratory Data Analysis

• Obtain a dataset

• Explore data visually to understand distribution

• Data Reduction and address imbalances

Training the Models

• Infrastructure: Intel® AI DevCloud, Amazon Web Services, Google Compute Engine, Microsoft Azure

• Process: Prepare and visualize the dataset, prepare for consumption into framework, hyper-parameter tuning, training, validate

Model Analysis

• Check your scores

• Compare your results

• Hyper parameter tuning

• Pick the winner or go back to training

Deploy on the Edge/Inference

• Introduction to the Intel® OpenVINO™ Toolkit – Capabilities and benefits

• Usage Models

• Model Optimizer – Optimize model, generate hardware agnostic Intermediate Representation (IR) files for prebuilt and custom models

• Demo of Inference Engine – Deploy to CPU, integrated GPU, and Intel® Movidius™ Neural Compute Stick

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Laptop Requirements
Participants need to carry own laptops with WiFi and modern browser.
Installation instructions and additional pointers on OpenVINO:

For Linux OS:
https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_linux.html

For Windows OS:
https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_windows.html

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Speaker Profile

Jayaraman Mahalingam
Intel AI Developer Program Geo Lead, APJ region
Jayaraman Mahalingam develops strategic partnership and engagement with top APJ Universities to take the Intel Artificial Intelligence (AI) story & vision. He works with technical content & infrastructure enabling teams and lead the Intel program for the Geo. He is an AI evangelist for the APJ region and also doubles up as expert trainer. He works with regional partners to deliver on the overall program goals and KPI's. Jay combines HPC, Big Data and AI technology streams to bring a coherent narrative for the future, with the regional academia and developer community.