Computer Vision for Industrial Inspection

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Course Overview

In this Deep Learning Institute (DLI) workshop, developers will learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection. Using NVIDIA’s own real production data set as an example, we’ll illustrate how the application can be easily applied to a variety of manufacturing use cases. Developers will also learn to identify and mitigate common pitfalls in deep learning-based computer vision tasks, and be able to deploy and measure the effectiveness of their AI solution.

Who Should Attend

Developers who use Python

Course Objectives

    • Extract meaningful insights from the provided data set using Pandas DataFrame.
    • Apply transfer-learning to a deep learning classification model.
    • Fine-tune the deep learning model and set up evaluation metrics.
    • Deploy and measure model performance.
    • Experiment with various inference configurations to optimize model performance.

Course Outline

  • Course Introduction
  • Data Exploration and Pre-Processing with DALI
  • Efficient Model Training with TAO Toolkit
  • Model Deployment for Inference
  • Assessment and Q&A

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Class Dates & Times

Class times are listed Central time

This is a 1-day class

Class dates not listed.
Please contact us for available dates and times.