PyTorch for Deep Learning and Computer Vision (Udemy.com)

Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

Created by: Rayan Slim

Produced in 2021

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What you will learn

  • 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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Quality Score

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Overall Score : 94 / 100

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Course Description

PyTorch has rapidly become one of themost transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models.
Deep Learning jobs commandsome of the highest salaries in the development world. This course is meant to take you from the complete basics, to building state-of-the art Deep Learning and Computer Vision applications with PyTorch. Learn & Master Deep Learning with PyTorch in this fun and exciting coursewith top instructor Rayan Slim. With over 44000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.
You'll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.
By the end of the course, you will have builtstate-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 skillsthat you can bringto any project or company.
This course will show you to:
Learn how to work with the tensor data structureImplement Machine and Deep Learning applications with PyTorchBuild neural networks from scratchBuild complex models through the applied theme of advanced imagery and Computer VisionLearn to solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained modelsUse style transfer to build sophisticated AI applications that are able to seamlessly recompose images in the style of other images.
No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.
This course also comes with all the source code and friendly support in the Q&A area.
Who this course is for:
Anyone with an interest in Deep Learning and Computer VisionAnyone (no matter the skill level) who wants to transition into the field of Artificial IntelligenceEntrepreneurs with an interest in working on some of the most cutting edge technologiesAll skill levels are welcome!
Who this course is for:
Anyone with an interest in Deep Learning and Computer VisionAnyone (no matter the skill level) who wants to transition into the field of Artificial IntelligenceEntrepreneurs with an interest in working on some of the most cutting edge technologiesAll skill levels are welcome!

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Instructor Details

Rayan Slim

Hi! I'm Rayan, a full time softwaredeveloperbased in Ottawa, Canada.
I first ventured intodevelopmentwhen working on astart-up. Since then, I'vebuilt countlessweb and mobile applications as a freelance developer, meanwhile expanding my repertoire and exploring new avenues in Deep Learning &Data Analytics.
In my free time, I love to teach!

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Reviews

4.7

179 total reviews

5 star 4 star 3 star 2 star 1 star
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By Renzo on 11/7/2020

Great Course. I'm a Data Science student and this was good to refresh some theory as well as understanding the coding for CNN.

By Shabbirhussain Bhaisaheb on 10/10/2020

The explanation is crisp and up to point, some more time in the coding lessons could have been given for better intuition and understanding.

By Meng-Huan Tsai on 9/24/2020

Clear and well paced tutorial.

By Christiano Gava on 9/22/2020

Thank you very much for the clear explanations and rich material!

By Anmol Narang on 9/6/2020

good for beginners

By Berta Biescas on 9/1/2020

I really enjoyed this course. Theoretical explanation were great, all videos were really helpful and the code is very updated. I deeply recommend it!

By Don Tolley on 8/25/2020

Very clear and great explanation of both theory and code.

By Amiri McCain on 8/24/2020

Easy to follow and straightforward.

By Oleg Postoev on 8/23/2020

Pretty clear explanations many of themes in a course. Especially about convolutional neural networks, themes like conv2d, maxPooling, etc.
Even before the end of the course I wrote own model in PyTorch. Cool!

By Robert Lake on 8/14/2020

Great class well paced and enough to get you implementing complex cnns.

By Potential Motors on 8/12/2020

Great explanations, not boring. Thanks!

By Faiq Khalid on 7/27/2020

Briefly explained and possibly in the easiest way to learn the specific course kudos .