SD
Mar 5, 2023
Deep Learning may be challenging, and though training a model is tedious and takes a lot of time, the classification and detection performance could be enhanced by using pre-trained CNN models.
RL
Jul 30, 2020
The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.
By Christos
•Feb 25, 2020
Challenging!!
By Nanang K
•Jul 25, 2020
Noce project
By José M
•Apr 16, 2023
Very good!!
By Shivam K
•Feb 2, 2022
Good course
By Yuanlong S
•Feb 16, 2021
good course
By Aditya M P
•Dec 11, 2020
Good Course
By TELAGARAPU P
•Oct 18, 2020
Good Course
By CARLOS S
•Mar 26, 2020
Thank you!
By THALLAM S G V T C
•May 24, 2022
excellent
By Alvaro B
•Apr 6, 2020
Excelent
By Dalton L
•Nov 12, 2022
Good
By 321910303060 g
•Nov 4, 2022
good
By Claudia S
•May 17, 2020
For the Keras part, it would be desirable if "clean" zip files were provided for week 2 to week 4 exercises, since they contain the MacOSX folder (which I think it is not required for the exercises). Also for Keras, it might be helpful if any other example could be found, since I do not think that using models which take that many hours (35 hours in Cognitive AI site / 8 hours in Google Colab) contribute in any way to the learning process. Or at least adjust them to use one epoch, like the Pytorch exercises
By Meenal I
•Jul 16, 2020
The course was good, but the only reason I gave it a 4* is because try as I might, the model fitting kept running out of memory on the provided system. I had to create an account on AWS to get my model to run. Maybe a consideration would be to try an alternate dataset that may fit in memory. I spent over 5 days trying it on IBM till before I had to move. to AWS. It was a great set of courses. Could have been a little more challenging as well.
By Julien P
•Jun 19, 2020
It's a great course to guide you through the full process of training a deep neural net. However, one needs to use external resources to train the model efficiently (Google Colab for example). The resources provided by IBM are not powerful enough to train the model in a reasonable amount of time (no GPU).
By Alexey K
•Feb 6, 2023
Compare to the previous courses, this one is much more robust and actually tests coding skills. If not for annoying bugs with randomly crushing labs and training deep models for 2 hours, it would be a perfect example of what the rest of this specialization should have been.
By SHANTANU S V 2
•Dec 25, 2022
I completed the course using Keras and I found one issue that the videos were available for PyTorch only and not for Keras in Week 2,3,4 making it difficult to understand for someone who is new to it. Otherwise everything is good. Great course. Thank You.
By Txomin V
•May 19, 2023
Very well.
If your goal is to learn, I recommend having a look at both PyTorch and Keras options and taking notes since some new functions are mentioned.
I trained the models offline on my paptop with GPU and it only took a couple of minutes :)
By Abhishta G
•Jul 6, 2023
Really good course, although I had some problems with IBM Watson Studio (Tokyo Region) in latency and constant restarting. I think it was a good introduction for people to get into the industry, many covered.
By Mikhail P
•Feb 13, 2021
The Keras part of the course is more attractive just because its final assignment is much better structured than that of PyTorch.
By Daniel J B O
•May 26, 2020
I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging
By Dima E
•Sep 26, 2021
It is a great task but the tools delivered very complicated. It is sometimes better to use upfront your own tools.
By Ruchika V
•Dec 3, 2020
I have completed this course but did not get the badge for it. Is there any way to access it?
By Thar H S
•Mar 27, 2020
Thank a lot for creating this course. It really useful and practical for me.
By Emanuel N
•Mar 1, 2021
Buen curso, implementando todo lo que se vio en la especializacion