Very good!!!

great course

good course

Thanks

great

ossum

good

good

nice

This is very challenging, but interesting. The only disappointment was with the last notebook example on deploying a simple model. Apparently, IBM watson had a recent library change, and the sample code had not yet been updated. It was also difficult to find the documentation on the new library to see how to update the code. However, this was not an assignment but an example, so it was not graded. The change is less than a month old. I am sure that the example will be updated soon.

Other than that, this course is very exciting, fun, and challenging!!

Once again, the assignment's were not challenging at all. I know that some topics being taught are difficult and giving tough assignments makes everything complicated. So from tough assignments you should go to medium and not extremely easy ones. A small example would be to provide time series data and then let us try to model it ourselves. Medium difficulty. Apart from that, I enjoyed the course. Gained a lot of knowledge. Thank You.

This class had some interesting information, and some lectures provided additional insight into the world of AI and deep learning, but more often than not I found it to more be a showcase for the ibm platform(not a bad thing and possibly good for people already working in the field). So overall I would say this is just above average, I would give it a 3.5 if I could.

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.

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.

The content of the course gives an idea of several techniques of deep learning. But The concepts ain't explained completely here. Though assignments can be helpful for better understanding...

I've learned a lot from this course. I've very much the Time Series Forecasting Section Explanation. The notebook is detailed and the concepts very well discussed.

An exercise with time series forecasting is would have been indispensable (but at least there is an example). However, the course as a whole is great.

This course is packed with info on different deep learning techniques and libraries. Not all of them can be found in exercises though.

Since they are updating the module, still LSTM and CNN were taught extremely well. I am eagerly waiting for the updated materials :)

One of the great course from IBM Watson .Really one should take this one if intrested in Deep Learning.

This is a good course with good introductory material that covers a broad range of topics.

Exercises let me explore the topic further which was very helpful for my learning

This course gives you a overall concepts of AI with DeepLearning ...Nice course

The course needs to allow the students to build their own model.

Concise intro to much needed big data machine learning solutions