I appreciated the most when the Deep Learning models where graphicaly presented. I found them very useful and easy to understand.

Hace falta algún ejercicio práctico así sea sencillo

Too much of technical terms for first timer to understand all terms being used in deep learning.

Many terms are introduced, but some of them are not for beginner level, there was coverage of many things but core aspect how we can connect the dots of deep learning with business problems is not very clear and simple. It can be improved by relevant examples of problem statements and how each solution type like CNN, RNN is utilized for such scenarios.

good high level presentation of deep learning technologies and theory. Professor was just repeating the slides.

Good one for Beginners.

Good start for new students.

Regular course! Need more practical examples.

I don't think you can learn anything you need from this course, even though you are a new beginner.

this course name shall be "introduction of Deep learning application", which we originally expect it will present more cast study come with application. Too much terms and will be have more example be better.

It is a pretty interesting course, but in terms of pedagogical value it is not that great. It focuses way too much on description (which could easily be gleaned from the internet) instead of explanations. After the course I googled some of the stuff covered (such as CNN and RNN) and found explanations which really make you understand how it works, why it works and what it does. That is not achieved with this course.

Me parece que el contenido se da de manera muy por encima, sin profundizar y no veo la aplicación concreta con casos de negocio. En general todo lo visto en el curso ya lo conocía. Nunca está demás un repaso igualmente. Saludos

The last module was very interesting , and useful with s

Videos don't really explain the text, the instructor is merely reading slides most of the times. It would have been the same having the slides and reading them ourselves. I think it would be useful having examples or additional explanations about the explained content. It wasn't worth the money

Good course but the speaker didn't seem knowledgeable in the subject as he was just reading from the slides directly. Many terminologies were not explained. More examples could've been used to explain the concept. While the title says 'for business', I did not see any business use case been used nor explained. I would skip this course over others.

The course is too short but try to cover too much context. For those who have not study any course about Machine Learning, it would be too difficult to understand the ideas. On the other hand, it's a bit unclear about the position of the course, if this is for someone who do not want to know too much details on the Deep Learning, I would recommend to cover more context on the practical ways of using various tools in this topic.

It could have been a book. Why should I stay in front of my PC and watch something that I personally can read? There is some useful information there, but generally disappointed.

It's only about hearing someone reading

These are not lectures, it is more a summary of important stuff which will be not explained here deeply. Not really made for beginners.

Thank you for the course.

The course gives an introduction to Deep Learning technologies.

However, many materials are very conceptual. The course design could be largely improved.

Its like reading list of known technologies(Siri. Alexa, Watson..) with short description without any good explanation. Expected to receive some ideas how it works and so on.

I found this course very superficial. I also find it skipping topics that was assumed to be known in a beginners course. Also, the narrative was lacking. Reading from the presentation is not narration or explanation at all. Overall was quite disappointed with the content and presentation. Please take the feedback in a positive manner as I feel the words above are a little harsh (true nevertheless)

I expected that the class environment and achievements can be useful in my business and my academic activities, but it is not!

Mostly irrelevant trivia.