Learner Reviews & Feedback for Introduction to Neural Networks and PyTorch by IBM
About the Course
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.
226 - 250 of 394 Reviews for Introduction to Neural Networks and PyTorch
By Pierre R
•May 18, 2023
good overview of pytorch
By Elham S
•Mar 3, 2023
very good. thank you
By Luis G R
•Oct 18, 2024
I really enjoyed it
By Ramiz U H
•Jul 28, 2023
Great experience !
By Jordi T G
•Apr 7, 2023
Very nice course!
By milad k
•May 29, 2023
awesome course
By Eric R
•Jan 24, 2025
learned a lot
By Muhammad Q
•Oct 5, 2023
V good course
By Subodh k
•Jun 13, 2024
nice content
By Sabeur M
•May 13, 2023
Great Course
By Naina M
•Feb 7, 2024
it was good
By BALARAJU S K
•Apr 9, 2025
excellence
By 23315016 V A
•Apr 8, 2024
tres bien
By José M
•Mar 9, 2023
Excelente
By Eden Y
•Mar 27, 2025
perfect
By Tetiana R
•Mar 23, 2025
great
By NALAJALA H
•Apr 2, 2025
good
By GUNAL N
•Dec 5, 2024
Good
By Rudraksh R V
•Aug 26, 2024
nice
By 01fe21bec413
•May 11, 2024
Good
By Boong P P
•Dec 24, 2023
good
By EC-199 S
•Dec 10, 2022
nice
By 19 0 1 D K
•Jan 16, 2025
ok
By Marco C
•Mar 30, 2020
The course is good and has a nice mixture of theory and practice, which is essential for mastering complex concepts. However, I do have a few observations about the course quality:
- Several of the slides in the presentations and even the labs have a lot of grammar mistakes.
- The theory is often rushed in the lectures. The course would greatly benefit from a more careful analysis of the maths behind each concept.
-In its effort to make the concepts easier to grasp, the lectures keep using coloured boxes to replace mathematical terms. I found that to be more confusing, they use far too many colours and are too liberal with their use.
-Lastly, the labs completely broke down in the second half of the course. My understanding from the course staff is that an upgrade was made on the backend which did not go well and thus caused those issues. They should have several backup plans for those occurrences, starting with having the labs available for download so that the students can do them offline.
Overall I'm happy with the course and would cautiously recommend it, given the above shortcomings.
By Peter P
•Jul 8, 2020
The course was fantastic for someone like me. I already knew all the math, and the course gave deep exposure to the needed Python routines and classes. The labs really help cement the knowledge.
Only drawback is that it went a bit too slow for me (NN with one input, NN with two inputs, NN with one output, NN with two outputs, etc.), but others might disagree.
I'm giving it a four because there were so many typos and mistakes (i.e. the gradient is perpendicular to countour lines, not parallel), lots of mispellings and wrong data on the slides and the speaker sounded like a computer (he pronounced the variable idx as "one-dx" - huh? I understand that there's going to be mistakes, but this is an one online course made for many people, and you'd expect that kind of stuff to be corrected over time since it is being repeatedly delivered.
But - it was a great course and I highly recommend taking it.