MP
2022년 6월 30일
Excellent introduction to the mechanics of Neural Networks in general, and the Keras application specifically. Alec is an outstanding teacher, I always appreciate his knowledge and enthusiasm.
AB
2020년 3월 15일
Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
교육 기관: deepthi l
•2019년 10월 9일
Loved the way the instructor has clearly set the expectations of the scope and breadth of coverage of topics in this course. However, if the course was a bit more deeper into intermediate level concepts, it would have given me more confidence to face interviews. Nevertheless, I would love to learn more from this instructor as he kept me motivated (and not bored) all through the course from start to the end.
교육 기관: Aniket S
•2019년 12월 16일
Queries are not getting resolved in the discussion forum. So, instructors should participate in the discussion forum to resolve such queries.
교육 기관: Lam C V D
•2019년 9월 8일
The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.
교육 기관: Amit T
•2019년 9월 28일
Details very well covered. I found it very much interesting and well explained.
교육 기관: Suhas S
•2019년 9월 19일
It is a good Introduction course on Deep Learning using Keras.
교육 기관: Jered W
•2019년 12월 16일
The final assignment needs to be more user friendly.
교육 기관: Sadabrata K
•2020년 4월 6일
Lab assignments are really good as they help in building the concepts nicely. IBM has really put together the best instructors. The videos were also very easy to understand. One more thing I would like to add is that previously I have tried learning Deep Learning from other places too but this course is the best.
교육 기관: Amitayu B
•2020년 3월 16일
Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
교육 기관: Petr J
•2020년 1월 20일
Quite good course on Nerual Networks. I would only welcome even more practical examples with practice coding but I was happy with this setup.
교육 기관: Chuck H
•2019년 12월 10일
Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!
교육 기관: Andres H
•2019년 12월 2일
Excellent i understood the main principles of neural networks and the recomendations were very usefull
교육 기관: GAUTAM K
•2019년 10월 3일
Very intractive and benificial course for me .Thank you coursera and IBM for this course
교육 기관: Rose C
•2019년 11월 10일
I really enjoyed this course, specially for all the labs and assignments. Thanks much!
교육 기관: Denis U
•2020년 1월 16일
Very good course to start with Neural Networks & Keral lib. Recommend for beginners.
교육 기관: Pokala A
•2019년 11월 6일
It,s a very good course to get grip on keras and artificial neural networks.
교육 기관: Ramiro R A
•2019년 11월 17일
Nicely packed in a small course. And the examples are pretty good as well
교육 기관: Laeeq K
•2019년 9월 26일
Super Class course ever I see. Thanks for give such best production.
교육 기관: Saeed A
•2019년 10월 16일
Nice for start point
교육 기관: Alex S
•2020년 5월 11일
Good course for absolute beginners. Would have liked an extra week or two to 'manually build' some of the key neural network concepts from scratch as in the first week.
교육 기관: Sameer u
•2020년 3월 11일
try to add more case study problems and solve it on lectures so that we can understand how to start (initialize) the coding part when we receive any real world problem.
교육 기관: ANGEL G C
•2020년 4월 19일
The course is OK in the overall. But it has two main drawbacks from my point of view:
1) The final assignments asks for solving the task making use of routines NOT shown along the course: i.e. it's shown in the labs to solve issues in a way, and in the assignment it has to be done in a different one.
2) It was IMPOSSIBLE for me to get feedback from the Staff at any question. I ended up solving the issues by my own and through try and error, which is fine from a self-study approach, but when it comes to technical issues, it can get quite complicated...
교육 기관: Bhrigu C
•2020년 11월 1일
The course does not cover using following concepts with keras - Dropouts, maxpooling, CNN, RNN, padding.
They have been covered in the pytorch course using PyTorch, which is entirely different from how we would use with Keras. It makes this course highly incomplete in terms of examples and assessments and I don't think I have learnt much here. There are way better free courses on youtube by regular data scientists (not from IBM) that include detailed concepts and examples on these left-out important content.
교육 기관: Serge F
•2020년 11월 16일
The title is not right. It is more a general presentation of deep learning then a présentation with KERAS.
교육 기관: Frank S
•2021년 11월 22일
This was a good course and well paced. But I have a comment about the final project. It was not clear to me if the same model was being re-trained and improved upon in 50 trials - or if the idea was to do 50 trials to capture just how good a model it is, using different splits of the data. Since we were asked to find the mean and sigma of 50 trials - I assumed those trials would be independent and each one performed with a fresh model - otherwise it is odd to find a mean and sigma of a system that is converging to a final result. In that case it's only the final mean and sigma of the final trial that matters. So I think some clarity would help there - without giving it all away with regard to how to do the project.
교육 기관: Brandon C
•2020년 3월 10일
I found this course to be very beneficial. The explanation was consice and straight to the point without wasting any unnecessary time on explanations of concepts that a student couldn't readily put into practice. I found the labs to be equally as concise and to the point. It allowed me to understand fundamentals and build programs quickly. I would suggest this course to anyone wanting to get up to speed quickly regarding Deep Learning and Keras in particular