Learner Reviews & Feedback for Introduction to Neural Networks and PyTorch by IBM
About the Course
Top reviews
JA
Jul 8, 2023
A well curated course filled with stuff essentially needed to acquire the knowledge of Deep Neural Networks with PyTorch and encompasses the domain of practical labs as well
DD
Jul 12, 2020
Excellent Course. I love the way the course was presented. There were a lot of practical and visual examples explaining each module. It is highly recommended!
376 - 400 of 417 Reviews for Introduction to Neural Networks and PyTorch
By Pakawat N
•May 5, 2020
There are a lot of mistakes in the slides and video but no updates
By Liam A
•Feb 5, 2021
OK for beginners, superficial exercises and quizzes.
By Suman S
•May 3, 2020
The course is too heavy to have just one project.
By 谭皓博
•Jul 15, 2020
A number of mistakes were found in the course.
By doha k
•Nov 18, 2024
Was really good and could make a base for ML.
By Yuping Y
•Apr 17, 2022
It is basically learning by copying code
By Hazoor A
•Feb 17, 2025
good but I can't find the certificate.
By Hugues L
•Jul 3, 2024
Too theoritical
By Tanmay G
•Feb 20, 2022
Good course
By Qihan L
•Aug 24, 2022
This
By Naman
•Sep 24, 2025
GOOD
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 12, 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 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.