RK
30. Juli 2020
The capstone of the project was really good it helped me to understand the deep learning concepts clearly for providing the solution.
RB
22. Mai 2020
A very nice project based course to get hands on experience with deep learning
and transfer learning.
von Branly F L
•14. Mai 2020
Excellent work from the teachers, thanks for your efforts.
von Nisar M
•2. Sep. 2020
Very good example to learn resnet pretrained models
von 林靖翰
•31. Juli 2021
The teaching of this course is clear and complete
von shiva k P
•13. Jan. 2021
Great hands-on work of everything learnt so far!
von Sanchit K
•4. Apr. 2020
Please labs are not so good. Please improve it.
von Anas O
•13. Juni 2020
Thanks Dr. Alex, I always love your courses
von Carlo E C
•21. Juli 2021
Real world approach to AI project
von Amine M B
•9. Mai 2020
Very interesting and helpful
von Morteza A
•28. Okt. 2021
very very good and helpful
von Oyenola P
•14. Juli 2022
great course and content
von suprakash s
•11. Mai 2020
Excellent course!
von Krish g
•3. Juni 2020
Marvelous course
von CHALLA K S N M S
•23. Sep. 2020
awesome course
von Julien V
•3. Juni 2020
Great course !
von Pilli S S k
•29. Mai 2022
super course
von Christos
•25. Feb. 2020
Challenging!!
von Nanang K
•25. Juli 2020
Noce project
von Shivam K
•2. Feb. 2022
Good course
von Yuanlong S
•16. Feb. 2021
good course
von Aditya M P
•11. Dez. 2020
Good Course
von TELAGARAPU P
•18. Okt. 2020
Good Course
von CARLOS S
•26. März 2020
Thank you!
von THALLAM S G V T C
•24. Mai 2022
excellent
von Alvaro B
•6. Apr. 2020
Excelent
von Claudia S
•17. Mai 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