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 times are listed Eastern time
This is a 1-day class
Class dates not listed.
Please contact us for available dates and times.