Learner Reviews & Feedback for Introduction to Neural Networks and PyTorch by IBM
About the Course
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 30, 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 16, 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.
376 - 397 of 397 Reviews for Introduction to Neural Networks and PyTorch
By Alessandra B
•May 10, 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 10, 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
By Kartik S
•Oct 26, 2020
the explanation is not in detail. Course Structure is confusing as well. Sometimes the concepts taught are not entirely correct. Overall not a good experience.
By Pratik B
•Apr 12, 2020
Sorry to say, but I really had some high hopes from this course, but this course is not meant to be a part of any specialization.
By Sorin C
•Oct 15, 2024
Labs not loading into any browser I've tried. No support to solve the issue. Mobile app doesn't support the labs either.
By Xihan L
•Aug 3, 2022
There are many typos in the quiz; the lab loads slowly.
By Walter B
•Jun 21, 2021
The agenda is good but it is not well explained.
By Oguzhan O
•Apr 20, 2025
it doesnt give me the certificate
By Reza B
•Mar 27, 2025
most underdeveloped course of MBI
By Siegfried K
•Aug 28, 2024
Many repetitions, monotonous
By yang z
•Jun 12, 2023
need programming lab
By Onder N O
•Dec 10, 2022
too simple
By Joseph W
•Mar 1, 2023
not good
By Javier J M
•Feb 23, 2021
Sucks!!