Udemy – Full Course on TensoRT, Detection, Segmentation 2025-5
Udemy – Full Course on TensoRT, Detection, Segmentation 2025-5 Downloadly IRSpace
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Full Course on TensoRT, Detection, Segmentation. This comprehensive and practical course teaches you how to optimize your deep learning models using the TensorRT and ONNX frameworks and deploy them on various devices (including edge and cloud devices). By learning this course, you will be able to create faster and more accurate models for various applications such as image recognition, object tracking, and semantic segmentation.
What you will learn in this course:
- Introduction: Familiarity with the basic concepts of deep learning, Docker, Kubernetes, and required hardware.
- ONNX and TensorRT frameworks: How to use these frameworks to optimize and deploy models.
- Practical applications: Implementing various image recognition, object tracking, and semantic segmentation projects using pre-built and custom models.
- Run your deep learning models with high speed and accuracy.
- Deploy your models on different devices.
- Participate in innovative projects in the field of artificial intelligence.
- Performance optimization: Learn various techniques to increase the speed and accuracy of models.
- Deploy models: Deploy models to edge and cloud devices.
Who is this course for:
- Students and graduates: People looking for deep learning and artificial intelligence.
- Software engineers: People who want to integrate deep learning models into their products.
- Researchers: People who seek to develop new models and improve their performance.
- Machine learning enthusiasts: People who want to expand their knowledge in the field of deep learning.
Course details
- Publisher: Udemy
- Lecturer: PhD Researcher AI & Robotics Scientist Fikrat Gasimov
- Training level: Beginner to advanced
- Training duration: 23 hours and 18 minutes
- Number of lessons: 194
Course Content
Course prerequisites
- basic python programming knowledge
- basic deep learning knowledge
- PC Laptop with CPU Or GPU
Full Course on TensoRT, Detection, Segmentation course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Previous title:
BOOTCAMP for TensorRT-ONNX 12+ projects and Python
Learn TensorRT, ONNX with Detection,Segmentation 12 PROJECTS
Changes:
Version 2024/4 has increased the number of lessons by 66 and the duration by 7 hours and 29 minutes compared to the 2023/6 version. English subtitles have also been added to the course.
Version 2025/1 has increased by 42 lessons and a duration of 4 hours and 38 minutes compared to 2024/4.
Version 2025/5 compared to 2025/1 has increased by 10 lessons and 46 minutes in duration.
Download link
File(s) password: www.downloadly.ir
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File size
15.1 GB
