PyTorch for Deep Learning and Computer Vision: Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Rayan Slim, Jad Slim

Amer Abdulkader

Sarmad Tanveer

$203.99

Video Apr 2019 12hrs 32mins 1st Edition

Rayan Slim, Jad Slim

Amer Abdulkader

Sarmad Tanveer

$203.99

Video Apr 2019 12hrs 32mins 1st Edition

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Key benefits

This course is designed to help you become an accomplished deep learning developer even with no experience in programming or mathematics

Description

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 https://github.com/PacktPublishing/PyTorch-for-Deep-Learning-and-Computer-Vision

Who is this book for?

This course is for you if you’re interested in deep learning and Computer Vision. Anyone (no matter the skill level) who wants to transition into the field of artificial intelligence and entrepreneurs with an interest in working on some of the most cutting-edge technologies will find this course useful.

What you will learn

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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