PyTorch for Deep Learning and Computer Vision
Course
Online
Description
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Course
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Methodology
Online
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Different dates available
Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch.PyTorch has rapidly become one of the most transformative frameworks in the field of deep learning. Since its release, PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. In this exciting course, instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. You'll go from a beginner to deep learning expert with your instructor completing each step of the task with you. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands-on skills that you can bring to any project or organization.All the code and supporting files for this course are available at About the AuthorRayan Slim - TeacherRayan is a full-time software developer based in Ottawa, Canada. He is the first ventured into development when working on a start-up. Since then, he has built countless web and mobile applications as a freelance developer, meanwhile expanding his repertoire and exploring new avenues in Robotics, Deep Learning & Data Analytics. In his free time, he loves to teach!Jad Slim - Data Science Entrepreneur
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Jad studied mechanical engineering at the University of Ottawa. Jad also has experience in machine learning, computer vision, mathematical modeling, computer simulation, and intelligent systems. He has also developed many deep learning applications, and is currently pursuing an interest in autonomous machines
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About this course
Work with the tensor data structure
Implement machine and deep learning applications with PyTorch
Build neural networks from scratch
Build complex models through the applied theme of advanced imagery and Computer Vision
Solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models
Use style transfer to build sophisticated AI applications
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More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
- Testing
- Networks
- 3d training
- 3D
- Programming
- Programme Planning
- Programming Application
- Information Systems
- Information Systems management
- IT
Course programme
Additional information
PyTorch for Deep Learning and Computer Vision
