Nvidia Computer Vision for Industrial Inspection (CVII)
Ziele der Schulung
In this workshop, you’ll learn how to quickly develop and deploy a machine learning model that uses deep learning for computer vision to perform defect classification and other visual recognition tasks. Using NVIDIA’s own real production dataset as anexample, this workshop illustrates how the solution can be easily applied to a variety of manufacturing and industrial inspection use cases.
Please note that once a booking has been confirmed, it is non-refundable. This means that after you have confirmed your seat for an event, it cannot be cancelled and no refund will be issued, regardless of attendance.
- 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.
Zielgruppe Seminar
This course is designed for data scientists, machine learning engineers, and AI practitioners who want to optimize deep learning workflows, from data exploration and preprocessing to model deployment. It is ideal for professionals working in industries such as manufacturing (for defect detection), healthcare, or computer vision who are looking to improve model efficiency and accuracy using the TAO Toolkit, DALI, and TensorRT. Participants should have a basic understanding of deep learning concepts, Python, and experience with machine learning frameworks.
Voraussetzungen
- Experience with Python; basic understanding of data processing and deep learning.
- To gain experience with Python, we suggest this Python tutorial.
- To get a basic understanding of data processing and deep learning, we suggest DLI’s Fundamentals of Deep Learning.
Lernmethodik
Die Schulung bietet Ihnen eine ausgewogene Mischung aus Theorie und Praxis in einer erstklassigen Lernumgebung. Profitieren Sie vom direkten Austausch mit unseren projekterfahrenen Trainern und anderen Teilnehmern, um Ihren Lernerfolg zu maximieren.
Seminarinhalt
Introduction
- Meet the instructor.
- Create an account at courses.nvidia.com/join
Data Exploration and Pre-Processing with DALI
- Learn how to extract valuable insights from a data set and pre-process image data for deep learning model consumption.
- Explore data set with Pandas
- Pre-process data with DALI
- Assess scope for feasibility testing
Efficient Model Training with TAO Toolkit
- Learn how to efficiently train a classification model for the purpose of defect detection using transfer learning techniques
- Train a deep learning model with TAO Toolkit
- Evaluate the accuracy of the model
- Iterate model training to improve accuracy
Model Deployment for Inference
- Learn how to deploy and measure the performance of a deep learning model
- Optimize deep learning models with TensorRT
- Deploy model with Triton Inference Server
- Explore and assess the impact of various inference configurations
Hinweise
Partner
Dieses Seminar bieten wir in Kooperation mit unserem Nvidia Learning Partner Fast Lane Institute for Knowledge Transfer GmbH an.
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Übersicht: NVIDIA Schulungen Portfolio
