Apr 26, 2018
It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea
Aug 08, 2019
Gave a good hands-on with IBM Watson studio notebooks. Also a good overview of LSTM's, Keras, Predictive maintenance. Good stuff, keep it going
By Ted H•
Oct 14, 2019
I can't believe how much progress has been made with Neural Networks since I studied them at school!
By MD S U•
Oct 14, 2019
A great course about Deep learning with AI.
By Victor d O•
Jan 09, 2019
I think we need in this module more pratical assignments.
By Dmitry B•
Jan 11, 2019
This course is packed with info on different deep learning techniques and libraries. Not all of them can be found in exercises though.
By Dmitry G•
Jul 19, 2018
Concise intro to much needed big data machine learning solutions
By Tobias H•
Aug 26, 2018
By Andrey O•
Sep 07, 2018
Part with DeepLearning4J is not very good...
By Saurabh W•
Mar 12, 2018
One of the great course from IBM Watson .Really one should take this one if intrested in Deep Learning.
By Naveen M N S•
Feb 18, 2018
Very hands-on course. Enjoyed the width of problems that were solved. IBM cloud seems irresistible. Certain sections of the course are too fast. For such sections it will be better if the notebook links are provided in the video/description itself.
By PRASHANT K R•
Jun 07, 2018
very nice course it gives more insight to deep learning.
By Arati Y•
Apr 09, 2018
It was nice
By Valerio N•
Mar 27, 2019
Very Complete course.
By Sourastra N•
Jul 26, 2019
The course needs to allow the students to build their own model.
By Vinayak B•
Jul 30, 2019
Really Helpful course for AI Enthusiasts
By Jair M•
May 22, 2019
Some videos are missing, but anyway is a great course
By Filip G•
Oct 09, 2019
Nice course with lots of practical examples. Course is delivered by multiple tutors with different styles and level of detail. Overall good introductory course into neural networks, scaling and deployment.
By Daniel P•
Jul 10, 2018
Too much focus on IBM platform, good overview on Keras/SystemML/DL4J though, some presentations could have been better prepared and implemented. Overall an average Coursera course and not a particularly great experience to work through the material.
By Jeet D•
May 12, 2018
The course is very resource heavy, i.e. it has great intuitive resources, but the learning experience was very poor. Some of the instructors were very sparse with the material contents, some just brushed over the contents without much explanation and.
The quality of the course has to be improved.
By Jose L M G•
Apr 01, 2019
Lo hago, el curso es muy bueno en cuanto al uso de la plataforma watson, pero falla en explicar los fundamentos principales con animaciones, ejemplo, el curso de pytorch de udacity enseña eso muy bien. En lo demas esta bien, pero al no contar con elementos visuales de ayuda en laclase de LSTM se hace tediosa.
By Jorge A V•
Feb 05, 2019
Explanations are a bit rush. Would not be easy to follow if I would not have deep previous understanding on the Deeep learning topics.
By Leonardo I•
Aug 28, 2019
The course is delivered at a very high level of abstraction. If you are a beginner, I wouldn't recommend this course as the explanations provided are quite vague and not so good in many instances. Justifications for the use of quite a couple of algorithms/values are not provided thus leaving the learner with a lot of "Why's"
One of the nice things about the course is that the instructor responds promptly to students' queries.
By Sheen D•
Sep 01, 2019
Again, the instructor speaks way too fast to explain anything. Even the subtitle cannot follow the instructor line by line. Frequent occurrence of inaudible words or sentence or wrong translations. When it comes to the code, never really understood what each line of codes is for...
By Csaba P O•
Oct 01, 2019
I liked the general idea of this course, but the actual material is not as good as it could be. There are lots of inaccuracies in the material (like annoying typos and not working code examples) which should be corrected before you sell this course on Coursera.
I strongly suggest that you go through your material with someone who has pedagogy knowledge and who can assist you to improve the didactic aspects of your material.
I did this course (and the whole specialization) for the practical examples as I feel rather confident with the theoretical aspects of machine learning, but I wanted to learn how to do these things in Spark environment. At the end of the day I have got what I wanted (more or less, as the NLP part was really lousy), but if I would not have strong experience with the field, I would have been surely lost. Honestly, I would have a hard time to recommend these courses for someone who wants to learn about machine learning and not about how to do machine learning with Keras, etc. And I am sorry to say that, because, again, I liked the team, the attitude, and the technical aspects of this course.
By Serdar M•
Mar 22, 2019
materials offered are not enough, and it is confusing.
By guoqiong s•
Sep 19, 2018
The video quality is very low, it is impossible to see the screen