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.
By Ulrich S
•Dec 7, 2020
The course is extremely slow and low level. Some important information on the slides might be around for less than a second, whereas unimportant information might be repeated several times. There is too many quite similar labs and very few background information. The practice parts and even the final assignment are way too simple.
At least, it seems one is able to learn some basic notion of PyTorch,
By Steven H
•Dec 23, 2023
Carelessly written and designed; lots of errors in videos (I think it was AI-generated) and the quizzes were a joke. Half the time there were spelling and grammatical errors which caused difficulty with understanding what was being asked. Some choices of answers also were just "incorrect" rather than actual giving an option for an incorrect answer.
By Alistair K
•Jun 11, 2020
Utterly abysmal! The lecturer is clearly reading from a script an never actual explains or discusses anything.
The monotonous tone is surely a ML synthesis?
All of the usual typos and code bugs, however even worse than is the fact that some key slides only stay on screen for less than 1 second. A very poor effort on the lecturer's part.
By Timur U
•Mar 29, 2020
Too many complicated theoretical materials and unclear practical instructions. I have lost motivation for this course.
By sada n
•Jan 10, 2020
it is too deep
By Alan Y K
•Mar 28, 2024
The course is excellent, it really explain the essentials of what is taught. There are no shortcuts, so if you want to expand your knowledge in the area this is a GREAT base. Since there are, really, no shortcuts or over-simplifications, some topics (given the nature of the area) are going to be hard to interiorize, but there are no other ways (IMHO). I really like the short duration and dynamic of the videos, since only goes for the relevant information and you're free to pause and make your research for the terms you don't get. Highly recommendable for those who are confortable with some level of math notation and a minimum of python (or related); if you are at 0, i think it might be a challenge, but a good and well-directed one. I think quizes could be better, but if you are autodidactic it shan't make the difference.
By Ilayaperumal K
•Jan 30, 2023
Everything depends on AI & ML now. Before enrolling in Coursera’s IBM AI Engineering Professional Certificate Course, I had zero knowledge about AI & DL. After completing the course, I am able to use these applications properly. It proved to be a total career game-changer.
Coursera has proven to be a wonderful experience. I have taken classes from other organizations, but there’s no comparison to Coursera.
Highly relevant examples were given which made me get a clear idea of the concepts explained. Deeply appreciate Coursera & IBM for designing this course very well.
Kudos to Instructors Dr Joseph Santarcangelo, Ph.D. for providing such a wonderful learning Journey.
By Txomin V
•May 2, 2023
I can say without a doubt that I learnt all I know about PyTorch during this course, it is well-contained. The exercises seemed to be up-to-date with the latest best practices. Good job :)
However, I think it could definitively be shorter and to condense the material into 4-weeks max. That depends on one's preferences though...
By PUSHPENDRA S
•Jun 16, 2024
I'm very happy to share with a wonderful experience of learning deep neural network with pytorch. I want to thank the entire team of IBM , which provide me a wonderful opportunity for learning advance skill in deep neural network with pytorch. Thank You !!
By Sekou D
•Feb 16, 2024
Ce cours pour moi est un cours assez complet pour vous données toutes les briques nécessaires pour construire et comprendre n'importe qu'elle architecture de réseaux de neurones en générale et plus particulièrement avec la technologie PyTorch.
By JAMIL A
•Jul 9, 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
By fermionsbosons
•Apr 3, 2023
The explanation is clear. The sample exercise is easy to follow. An excellent structure that walks the learner from a beginner to gaining advanced knowledge at the end.
By Christian P
•Mar 22, 2023
Excellent course, I have never seen so much quality learning material in short span of time, and somehow IBM managed to make it easy to understand.
By Andres I C R
•Jan 9, 2021
Really good structured with very clear explanation of the math behind the different topics
By Armaghan S
•Jun 5, 2023
Really great course, It was easy to go with, quizzes were easy and great concept building
By Tamer K
•Jun 4, 2023
Very good introduction to PyTorch and deep learning. The lab notebooks are very helpful
By 2K20\ME\16\Aditya K
•Dec 1, 2022
Perfect!
A balanced combination of video explanation, labs and graded assignment.
By Sara A
•Mar 24, 2024
Very good course covering both theoretical and practical aspects of deep NNs.
By Hoà i T D
•May 22, 2024
The course content is presented scientifically and easily to understand
By Theophile T
•Feb 25, 2021
It was my first experience programming in PyTorch and I was amazed.
By Hein H A
•Jun 19, 2024
nice course and it truly help me to materialize my interests in DL
By Stavros L
•Jan 4, 2023
Excellent step-by-step approach with solid python coding examples.
By Shihab A
•Dec 14, 2023
Great comprehensive course covering both theory and application.
By Sourabh K
•Jun 26, 2021
One of the best course in the IBM AI Engineer Specialization !
By Usman A
•Jan 16, 2024
Highly Recomended! The best course for learning pytorch.