Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
Good course. It is a very direct approach. It is a basic introduction to keras. Doing the labs is recommended, and also previous knowledge about machine learning is encouraged.
By Suman k s•
By Hamza A I•
The course content is very brief not much for getting a better understanding of topics. It can be a good starting course for someone but if you are interested in getting details of topics I recommend taking the courses of deeplearning.ai
By Tony D•
Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course
By Rogier W•
Course is too easy... And some guy copied my work for the final assignment after he reviewed it. IMO it should not be possible to review someone else's work, when you haven't passed the course yourself yet.
By Pietro D•
The course was very elementary and brief but well organized. Week 4 (supervised and unsupervised models) is definitely too short to grasp the ideas behind the different designs.
By Somak C•
The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.
By Jorge R C R•
Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.
By Simone P•
It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.
By Suresh C•
These course is just for Introduction in Neural Network and Keras
By ANGEL G C•
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...
By Bhrigu C•
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.
By Xing L•
Too basic and simple, especially for the different popular models. Not as good as I expected.
By Jbene M•
By Julio T•