Rayan Slim
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:
Instructor Details
Courses : 2
Specification: PyTorch for Deep Learning and Computer Vision
|
11 reviews for PyTorch for Deep Learning and Computer Vision
Add a review
| Price | $17.99 |
|---|---|
| Provider | |
| Duration | 14 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$17.99
Rudy Baronette –
Very thorough, but simple explanations of difficult concepts in deep learning. It is the most complete deep learning course I have taken so far.
Hamzeh –
i need object detection models but it does not have these models till now.
Luka Micheletti –
For now it’s really deep diving, very complete, can’t wait to go on!
Gary Conley –
This course has been very tough. I had to bail off of it and do a ton of other study on calculus and almost half of a similar course on Udacity before I could make my way to this point. There is little attention to clarifying what the student may not understand. The lectures are dry and slow and the graphics are not highly informative. The course clearly requires an understanding of calculus before you start. As a note, I could be considered a high school drop out, but I love math and I am a self taught full time software developer fluent in python and Java with close to 100,000 lines of deployed code. Most of my friends consider me a math wiz as I pick it up very rapidly. It should not be this difficult for me.
Renith G –
Great course
Xiaohe Xue –
Good course, simple explanation. It is helpful to have appendix, but even if I don’t need it, I have click through the appendixes to get the whole lessen finished…Maybe a better way to provide additional knowledge.
Maria Camila G iza Ortiz –
Un curso excelente para quienes no tengan mucha experiencia en deep learning y necesiten dar un salto a sus aplicaciones en computer vision!
Ivan E Sanchez Garcia –
Very good course!! The only thing I think it could be improve is the python practice. Maybe a python exercise at the end of each section!
Yifei Pei –
A very good introduction to deep learning for computer vision using pytorch. It may be better to have more advanced topics like GAN, VAE, and YOLO.
Ernesto Maisuls –
I learned many interesting things, I am new to Pytorch and this course was very good. I think that adding more info about how to load data with Pytorch in different settings would provide an extra value to the course.
K CG –
Greatly explained at the beginning, but doesnt go into any depth later on. personally on udemy explained the basics the best out of the other options, but just skims through everything past ANNs