Dear Team ,\n\nNamaste Everyone !!\n\nExcellent Course structure - ML, VR and NLP.\n\nGreat Learning Module Design by All Faculty.\n\nThanks to everyone!!!
The teaching materials are well presented and clear.\n\nJust that the level of this course is a bit not advanced enough.
par Neela J M•
Dear Team ,
Namaste Everyone !!
Excellent Course structure - ML, VR and NLP.
Great Learning Module Design by All Faculty.
Thanks to everyone!!!
par Patrick L•
The teaching materials are well presented and clear.
Just that the level of this course is a bit not advanced enough.
Great course with a lot of practice and smart meaning !
par Julio C•
Great training !!!
par Suryabrata D•
par BHAVANA g•
Its pretty difficult to follow up with this course. We must have a good knowledge on Neural n/ws prior starting this course.
par Abrar J•
Good for using IBM tools
par Lam C V D•
Theory Overview only
par David L•
Aspects of this course could be worked on with regards to smoothness, conceptual teaching and grammatical/spelling errors.
Much of the course had confusing terminology/grammatical forms which made multiple lessons difficult to understand. The video quality was, for the most part, very well done -- but some videos moved too quickly to follow (although it may just be my current level is too low).
I really enjoyed the case studies for the most part; they were challenging and informative, forcing you to learn yourself. There were a couple of areas where I would've appreciated more guidance, such as setting up the MLP/CNN at the end of Week 2. I had no idea that we needed to use a sparse-categorical-crossentropy loss function until I looked at the solution -- and I'm not sure other students would know the same.
Otherwise, it was a useful course.