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Learner Reviews & Feedback for Introduction to Neural Networks and PyTorch by IBM

4.4
stars
1,771 ratings

About the Course

PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch
skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer.
AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition,
natural language processing, and predictive analytics. During this course, you’ll learn about 2-D Tensors and derivatives in PyTorch. You’ll look
at linear regression prediction and training and calculate loss using PyTorch. You’ll explore batch processing techniques for ef...
...

Top reviews

SY

Apr 29, 2020

An extremely good course for anyone starting to build deep learning models. I am very satisfied at the end of this course as i was able to code models easily using pytorch. Definitely recomended!!

RA

May 15, 2020

This is not a bad course at all. One feedback, however, is making the quizzes longer, and adding difficult questions especially concept-based one in the quiz will be more rewarding and valuable.

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351 - 375 of 385 Reviews for Introduction to Neural Networks and PyTorch

By Tanmay G

Feb 20, 2022

Good course

By Qihan L

Aug 24, 2022

This

By Johannes D

Jun 10, 2022

More "Beginner" than "Intermediate"

From the title i expected a course introducing the depthos of PyTorch for (intermediate) Data Scientists. Instead the course is a shallow introduction to feed forward and convolutional neural networks with a little bit of PyTorch. The course targets beginners who want to learn the basics of ANN / CNN models and learn their first deep learning framework. All others should search for another course.

By Marc J

Mar 23, 2024

There is some good information and explanations in weeks 5 and 6. Overall the course is very unstructured and most of the big "Whys" are not clarified. In addition some basic rules of teaching should be learned by the instructors and applied to design this course. If you should do it in the labs you MUST talk about it in the videos! People payed for these courses so they MUST NOT be forced to learn contents autoditactically!

By Dan P

May 13, 2022

This course is an OK introduction to Pytorch and neural networks for beginners, but many better such introductions exist. fast.ai would be my first recommendation. There are numerous spelling errors, some of which seriously affect the correctness of statements.

The quizzes only test trivial knowledge, and don't go into any real depth.

The total content of the course is maybe 4 hours.

By Will G R

Feb 11, 2021

Material is good but riddled with grammatical errors and random typos that only make learning more difficult. Also topics are covered at a very minor depth and I often had to look through many additional resources to understand each topic presented.

By Jaeoh S

Apr 29, 2023

The material is fine but the presentation is not good.

-Often the lecturer shows not so important slides a few seconds but important slides only 0.5sec.

-So much about follow the code than really explaining what's going on.

By Iain G

Apr 2, 2020

The quizzes are a complete joke. If you're hoping employers will take Coursera certificates seriously, the standard of assessment here is not good enough by a long long way.

By Moritz A

Jun 13, 2022

When doing IBM AI Engineering Course, I will hear content twice here. Explanations could be better. No graded Assignment. Only Quizes with 2-3 question with 2-3 choices.

By Alex D

Oct 4, 2020

Very technical and math-oriented. Even after completing it, I have no idea how to apply it to the real world. Seems everything is read using a computer voice.

By Jay C L

Apr 28, 2024

There are too many typos in the notebooks and quizzes, even wrong indices of materials, including videos and notebooks.

By Victor B

Mar 27, 2020

I found the course instruction is confusing, sequential and class module should be in different video parts

By Husam A

Mar 21, 2024

Some of the content is not well organized, most of the courses are labs, and they are outdated.

By Jack C

Mar 10, 2020

The external tool did not work. I believe there were some maintenance issues. Not good enough.

By Nicolas B

Oct 20, 2021

The course contents are not very interesting, and the quizzes are way too easy.

By Alessandra B

May 9, 2020

Not engaging. Had problems opening the notebooks at the beginning of the course

By sylvain g

Mar 19, 2020

A lot of mistake in the materials.And some labs exercise were unreachable.

By Karthik R

Apr 9, 2021

Quite a few errors and lacking flow in the explanations.

By Ammar E

Jan 18, 2024

was very rushed and not informative enough

By Dennis T

Oct 31, 2020

not indepth enough explaination

By Sharad J

Nov 29, 2021

Very high level.

By Luis M

Feb 25, 2025

"Initially, the course title was 'Deep Neural Networks with PyTorch.' However, it has been automatically updated to 'Introduction to Neural Networks and PyTorch.' How can we know what the course title will be tomorrow, given these changes? Additionally, the certificates have also changed."

By Muzamal A

May 3, 2020

this has been the worst course I have ever seen... the guy is not able to explain as it seems the audience of his course are mathematicians... he makes explanations by showing things and saying numbers but without explaining the principles behind it...

By J Z

Nov 28, 2022

Very poor quality course. Information on the slides is a total mess. The theory is badly presented. There are so many spelling errors. The only thing worth looking at is the jupyter notebooks.

By Łukasz C

Mar 18, 2020

Overall good course and labs. But labs are so unstable, that it makes this course useless. Out of 4 weeks labs were not accesible for more than a week. Not recommended