AB
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Excellent course. The instructor was clearly passaionate about the topics covered and very knowledeable. A well designed course that was easy to understand and follow.
AP
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Very good course. If we could have the answers to the projects after submission, that would help a lot. Please see if same if possible. Thanks,
Danen
By Surya V
•Jun 28, 2023
very Good
By Anand M
•May 7, 2022
Excellent
By Suman k s
•May 13, 2020
Fantastic
By SUSEENDRAN s
•Jan 3, 2022
good
By rebwar k
•Aug 17, 2021
good
By ChrisXY Z (
•Feb 7, 2022
The content is for new comer of tf.keras OK.
When you have been in this area for a long time but still want to finish the whole specilization, pls go ahead and finish the final exam directly.
The week 2 of describing the back propagation is pretty nice, not too much detail but somehow it is using an example which is even clear at some points comparing to Prof.Ng 's course, however, wont let them competet each other
By Gopal I
•Mar 11, 2022
The course materials need to be updated to clearly show how to get to the labs. The video talks of one way but the real method is different. Although one is supposed to use the IBM Labs the staff gives direction to use google colabs. I downloaded the files to local machine and discovered the dependencies by accident.
One should not expect to learn much about Keras here. It is a basic introduction to DL and NN.
By Alexey K
•Jan 8, 2023
A very light introduction into training Neural Networks with Keras. Content is of good quality, but there is not enough of it to qualify as a course. Some weeks contain ~20 min worth of videos and a quiz. I bet all the material could have been condensed into just 1 week of video lectures and a final project week.
Final project is good, but it would be way better begin auto-graded instead of peer-graded.
By Sundar N
•Aug 14, 2023
A good course overall, with reasonably good explanations and step-by-step labs. However, the course did not really cover Recurrent Neural networks and Auto Encoders properly: the theory part was barely an overview and there were no code examples or labs related to them. It is a bit disappointing to see them in the syllabus but not covered in the course.
By Kai-Thomas K
•Sep 5, 2024
The course content is really good, because it explains a lot about the real background tech. Loved that one, also the code examples. BUT: the final exam was pretty all over the place and a big leap from what was in the course examples and notebook. Probably that should be reworked.
By Vasileios D S
•Aug 22, 2021
This course is too shallow in terms of content and too light in terms of workload, it can only serve as a stepping stone towards a more advanced course. It does accomplish its stated goal of offering an introduction to many Deep Learning concepts and Keras, but nothing beyond that.
By Hamza A I
•Mar 3, 2020
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 Marcelo S
•Jul 20, 2024
Amazing material but very outdated. I was able to figure things out on my own but those not as good at debugging may run into very difficult to over barriers. That said the course is fantastic. If it gets an update I'll raise the score.
By Tony D
•Jul 29, 2020
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 Rubel M
•Feb 12, 2022
The course should have discuss either deeplearning or keras library more deeply. As it is not discussed, at least other resources or courses should be mentioned for interesting strudent who is prone to advanced learning.
By Rogier W
•Dec 14, 2020
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
•Jan 3, 2020
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
•Jun 24, 2020
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 Dominik S
•Nov 24, 2023
Extremely simplified course of ANNs, tells you how to create a simple ANN, but you are not going to learn almost anything about how it's components work together.
By Jorge C
•Apr 20, 2020
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
•Oct 3, 2019
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
•Nov 5, 2019
These course is just for Introduction in Neural Network and Keras
By ajay s
•Mar 12, 2024
Trainer was not so good
By Ash P
•May 8, 2023
+ Learnt a few things from the course.
+ The first lab about building a neural net from scratch was good.
- Passed the whole thing in just a few hours with no prior knowledge of Neural Networks or Keras.
- Short lectures.
- Very easy multiple choice questions.
- No presenter overlay on lecture videos.
- Overly prescriptive labs.
- Awkward and unnecessary dependency on Jupyter Notebook.
- Some poorly specified questions for labs.
By Xing L
•Oct 7, 2020
Too basic and simple, especially for the different popular models. Not as good as I expected.