SY
29 de abr. de 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
15 de may. de 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.
por aditta d
•4 de nov. de 2021
Good lecture...
por Mohd N K
•14 de may. de 2020
very practical
por Richard B
•16 de may. de 2020
Challenging
por Rafael B
•11 de feb. de 2022
The content of the course is interesting and light and allows for a good basic understanding of the topic. However, the presentation is not good. The automated narration in the videos is often weird and repetitive. The visual presentation is also not great, the colors and diagrams help very little with the understanding of what's happening in the routines (except for the skecthes of the neural networks themselves, which are pretty good). The lab notebooks are riddled with typos. The course would be improved by having a more detailed discussion of what's going on in the code before practice in the labs. Otherwise, I recommend the course for anyone who is starting in the field.
por Michael H
•21 de jun. de 2020
This course was not to the same standard as some others I've taken on Coursera. I think the concepts would have been very hard to follow if I hadn't already taken the Deep Learning specialization, so it isn't a great conceptual introduction to Deep Learning. That said, it also doesn't deeply explore the nuances of the PyTorch library, or give very much guidance on best practices or how it differs from other popular frameworks like Keras/TensorFlow. The quiz questions are fairly shallow (and often frustratingly ambiguous). Probably the best part of the class are the ungraded lab assignments.
por Gasm E M M
•14 de mar. de 2021
I like to feel a human is teaching me, but I felt a robot is teaching instead. Also, many parts of the labs are copied from each other, and that's good, but the sentences and comments are forgotten unchanged and they don't belong to that lab. I preferred if the PowerPoints were designed better. Other than that, I can see that the author tried his best to include everything.
por Rajaseharan R
•1 de nov. de 2021
The presenter at times goes too fast and once he's finished talking the slide moves forward before there is time to absorb the material. The slides also contain errors. Should be more throughly reviewed. The labs also contain some bugs. The quizes contain some spelling mistakes and some of the quiz questions are unclear.
por Stephan W
•6 de feb. de 2021
Potentially a good course, but due to the very short videos and complete lack of supporting material (not even the slides of the videos), it's hard to follow. You need to watch the videos over and over again and take notes. Not sure why not even the lecture slides are provided.
por Julius W
•14 de mar. de 2022
Very theoretical course. You can claim the badge without running any code. The additional honours course consisted of a total of 3 lines of code you had to write. I did not really enjoy this course. It covered a lot of things but was as dry as possible.
por Ahssad
•11 de ago. de 2021
It is very fast paced. There are a lot of videos and not enough opportunities to actually reinforce what you have learned in terms of shorts projects. I think at the end of each week, there should be a small project in order to progress.
por Chaney O
•1 de jun. de 2020
The lectures and quizzes are too short to provide much value. The material could be better condensed. The labs were useful, although at times, it felt like the same material from a prior video. In general, it was a good overview.
por Sabrina S
•8 de mar. de 2020
Ok walkthrought of pytorch, a lot of content but slight mismatch between rather basic DS topics and advanced programming skills. Materials need to be reviewed for spelling and grammar, some quiz questions are unclear.
por Yi M L
•28 de oct. de 2020
the content is definitely overloaded.. i am blowing.. felt like i went to college again. if cut some of the content it will be much more user friendly to learn.. for an online class prespective
por César A C
•25 de jun. de 2020
The course is quite complete, but it contains to many things already contained in the previous courses within the Specialization. The final honor part could have been much better.
por Massimo B
•23 de feb. de 2022
quality of slides is quite bad and exercises are just a repetition of the class. Nevertheless the basic concepts are explained clearly
por Tony D
•8 de sep. de 2020
Very slow and redundant material with previous courses of the "IBM AI Engineering Certificat Professionnel"
por Mutlu O
•4 de ago. de 2020
More useful exmples in labs would be helpful to understand the possibilities with the method and tool
por Miroslav T
•8 de jun. de 2020
quality of videos at the beginning of course are low, fells like the machine is reading it
por Benhur O
•30 de ene. de 2020
To focus in the coding but not the underlying structure of the library and how to use it.
por Prateeth N
•1 de jul. de 2020
Very Basic course. Would have enjoyed more interesting examples in the notebooks
por Bhaskar N S
•4 de abr. de 2020
Found it very difficult to follow some of the content and assignments
por Pakawat N
•5 de may. de 2020
There are a lot of mistakes in the slides and video but no updates
por Liam A
•5 de feb. de 2021
OK for beginners, superficial exercises and quizzes.
por Suman S
•3 de may. de 2020
The course is too heavy to have just one project.
por 谭皓博
•15 de jul. de 2020
A number of mistakes were found in the course.