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 Edward J
•Oct 21, 2020
Very disappointing. The instructions are unclear in the assignments and it got frustrating choosing which platform to use to speed up the process and to bypass notebook errors. This was the least challenging and least interesting Capstone project I have done with IBM.
By Briant J C
•Jul 31, 2023
Please update the code since most of it is deprecated and some errors. Some code was also hard to work with since it could be better structured. The lab training takes time in any of the IBM platforms. I suggest working all labs in Colab.
By Markey S
•Mar 3, 2024
Needs updated to reflect current changes that have been incorporated into the IBM platform. Instructions can be confusing. Assistance with the code is great but the course needs a once over update.
By Stefano C
•Mar 12, 2022
The information in this course is repeated over and over. You basically learn the same stuff, it could be cut in half.
By Mariam A
•Apr 3, 2020
the keras part was totally ignored
By Krzysztof R
•Feb 4, 2024
Learning content was good, but making assignments was a nigthmare, I could not set up an IBM Cloud account, becasue they could not verify my payment card, when i asked them to help me, they just responded "We have reviewed your account/transaction and will not be able to offer services. No further information will be disclosed regarding this matter. Any card authorizations will reverse within 24-72 hours depending on the issuing bank.". They ghosted me completely and did not want to help. I do not recommend. It's no wonder that with this kind of customer attitude IBM is far behind the competition today.
By Oleksii Y
•Jun 12, 2024
The code doesn't work with tensorflow 2