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Udemy – PyTorch Bootcamp | By OpenCV 2025-1

Updated August 10, 2026 5.6 GB
Udemy – PyTorch Bootcamp | By OpenCV 2025-1

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Description

PyTorch Bootcamp | By OpenCV. This course is an intensive bootcamp to learn the PyTorch software framework and its applications in the fields of deep learning and computer vision. PyTorch is recognized as one of the main tools in modern AI research and implementations, and mastering it is essential for enthusiasts and professionals in this field. This seven-hour course covers the conceptual foundations of deep learning and practical examples in the field of machine vision, emphasizing practical and direct experience. The main audience of this course is newbies who want to build a solid foundation in deep learning through practical exercises. The highlight of this bootcamp is the direct teaching by Dr. Satya Malik, CEO of OpenCV, whose organization is the developer of the famous computer vision library used worldwide.

What you will learn

  • Deep Learning with PyTorch: Enter the world of deep learning with one of the most powerful artificial intelligence frameworks, PyTorch.
  • Image Classification: You will learn how to classify images.
  • Object Recognition Basics: You will learn the basics of object recognition.
  • Neural Networks: You will learn how to work with neural networks.

This course is suitable for people who:

  • Beginner Python developers who are eager to learn PyTorch and machine vision.

PyTorch Bootcamp Course Details | By OpenCV

  • Publisher:   Udemy
  • Instructor: OpenCV University
  • Training level: Beginner to advanced
  • Training duration: 7 hours and 13 minutes
  • Number of lessons: 13

Course syllabus for 2025/2PyTorch Bootcamp | By OpenCV

PyTorch Bootcamp Course Prerequisites | By OpenCV

  • Basic Knowledge of Python

Course images

PyTorch Bootcamp | By OpenCV

Sample course video

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Download Part 6 – 665 MB

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Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Part 5 – 1 GB

Download Part 6 – 665 MB

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File size

5.6 GB