PyTorch for Deep Learning and Computer Vision Free Download

PyTorch for Deep Learning and Computer Vision
English | Size: 5.53 GB
Category: Tutorial

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

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 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 command some 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 course with 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 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 company.

This course will show you to:

Learn how to 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

Learn to solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models

Use 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.

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