AA
11 de jun. de 2020
It was very informative, the instructor paces the information very well, & I love the resources at the end of every lecture.\n\nthe last project section was very well done & explained in detail.
RN
1 de oct. de 2018
Amazing lectures! Detailed description of each topic coupled with mind blowing graded assignments! :)\n\nThanks a real bunch, Coursera for offering this courses & of course, scholarship!
por Prabhakaran
•2 de ene. de 2018
Good one for Beginners.
por Nehank G
•28 de abr. de 2021
Very theoretical
por 이진승
•18 de jul. de 2021
good
por Marcelo P R
•25 de mar. de 2020
I feel like this course didn't find its niche. There is a huge jump in difficulty from week 3 to week 5. Even though this is a course for beginners, you won't be able to understand week 5 unless you already know A LOT about Neural Networks. If you have a background in Math/Computer Science but you are a beginner in NN, take this as a introduction to the history of NN and its concepts, skip week 5 and have a look at week 6 for an introduction to TensorFlow playground. If you have a business background, there are better resources out there. But if you want to take this course, stop at week 4.
por Ivan L
•20 de may. de 2018
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.
por Daniel M
•31 de ene. de 2020
Quite a disappointing course. All the instructor is doing is reading some PowerPoint slides. Many times, those slides include lists of technical concepts, which are not explained well enough to understand them. Other times, he just lists historical facts, such as technology XYZ v.05 was introduced in 2010, followed by version 0.6 in 2015, etc. I was hoping for something else from this course.
por Ram N
•19 de nov. de 2017
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.
por Daniel I G
•3 de nov. de 2017
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
por Ovidiu U
•19 de jul. de 2018
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.
por David A R V
•29 de sep. de 2019
It's only about hearing someone reading
por Srinivasan R
•23 de abr. de 2018
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)
por Liaosha L
•18 de feb. de 2018
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.
por Atif I P
•26 de jun. de 2020
The instructor just reads out random slides and doesn't even explain them properly, it's really an average course. Would not recommend to anyone.
por Amir-Mohsen K
•17 de ago. de 2019
I expected that the class environment and achievements can be useful in my business and my academic activities, but it is not!
por james h
•1 de feb. de 2018
Mostly irrelevant trivia.