PyTorch Python Tutorial | PyTorch Machine Learning Tutorial | Deep Learning Using PyTorch


Master Deep Learning and Computer Vision with PyTorch – Full Course on sale for $10! (normally $200):

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.

Rayan Slim’s channel:

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.

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!

This video was done in collaboration with Rayan Slim and ProgrammingKnowledge.

#PyTorch #MachineLearning #ProgrammingKnowledge
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!



Comment List

  • ProgrammingKnowledge
    December 12, 2020

    I cant find your video about tensors

  • ProgrammingKnowledge
    December 12, 2020

    If someone has a problem with optimization, change the learning rate to 0.001

  • ProgrammingKnowledge
    December 12, 2020

    the teaching style is really really good.

  • ProgrammingKnowledge
    December 12, 2020

    I hope you're all enjoying the tutorial (Rayan – speaker in the video). I'm cooking up some more deep learning and computer vision content on Learn the Part. Feel free to subscribe if you'd like to stay updated!

  • ProgrammingKnowledge
    December 12, 2020

    thank god no indian accent

  • ProgrammingKnowledge
    December 12, 2020

    When I use !pip3 install pytorch I get ERROR: Failed building wheel for PyTorch

  • ProgrammingKnowledge
    December 12, 2020

    Thank you for this awesome tutorial! You explained everything very clearly.

  • ProgrammingKnowledge
    December 12, 2020

    Very nice tutorial , thanks for sharing your knowledge with us

  • ProgrammingKnowledge
    December 12, 2020

    cool i hope you will keep on uploading such videos

  • ProgrammingKnowledge
    December 12, 2020

    I'm in

  • ProgrammingKnowledge
    December 12, 2020

    Great work man

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