PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch

Описание к видео PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch

Master Deep Learning and Computer Vision with PyTorch - Full Course on sale for $10! (normally $200): https://www.udemy.com/pytorch-for-dee...

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning and Machine Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning and machine learning, due to its flexibility, and how easy it is to use when building Deep Learning, and machine learning models.

Deep Learning / Machine 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 and Machine 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 Machine and 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, Machine 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.

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 Vision

Anyone (no matter the skill level) who wants to transition into the field of Artificial Intelligence

Entrepreneurs with an interest in working on some of the most cutting edge technologies

All skill levels are welcome!

Timeline:
0:00 - Introduction
1:13 - Supervised Learning
34:02 - Gradient Descent

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