Interesting content but some videos do not explain the topics well enough and some extra study is needed.

This class is great! A few professors are hard to understand but it's still OK. The homework is helpful.

This course is very good, but there are some topics which are very difficult to completely understand

The course was awesome, I have learned lots of new things, clear some doubts, I have enjoyed a lot.

c'est terrible que la version du Keras est désactualizé, mais le cours est tellement bien!

Amazing content.But notebooks need to be updated.

Actually requires good python knowledge

Some concepts should have been explained in more detail using more (or better) examples.

Yep - pretty good course that covers all the basics, and has some nice tips and tricks.

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

This course was very Challenging and got many insights to learn.

Good teaching, the exercise preparation could be more accurate.

Good intro to deep learning (RNN's well explained! Good job.)

Great course to get a first view of deep learning !

some lectures can be given at a slower pace

Great course with challenging assignments.

Comprehensive intro of deep learning

Tensorflow 2 would have been great

课程有一定难度，需要有比较好的先验知识，但课程作业设置非常锻炼人

Quite good - not too basic.

Challenging and helpful !

I love the material!!

I've dived into this course only AFTER completing Andrew Ng's specialization "deep learning". In that sense this was a nice "revision" with additional set of exercises. Some of the topics introduced were nice exercise in ultimately "testing" your knowledge from other sources. Having said this, you really need previous exposure to machine learning, and I'd also say - deep learning.

But it doesn't give much beyond this point. Lecturers vary in terms of knowledge, or rather the ability to clearly present it. Coursera serves might not be enough for most exercises, and it pushes you to set-up your own machine (if you have a proper one) or configure one on the cloud. With many services it is rather easy now.

Overall, I recommend it as a review, an introduction AFTER some exposure. Some additional material might be new to you, but no necessarily if you followed other courses. I am more eager to look into further courses in the specialization.

Overall I enjoyed the course, but it lacks structure. Some materials are assumed to be well known by the learner and surprisingly some easier ones are not. I like to see the math, but it needs more materials to support it. Most instructor's have very heavy accent and tend to speak too quickly, I find myself rewinding multiple times just to figure out what was being said. Homework's are not too difficult, and are enjoyable. Except for the last one where you need to wait for a peer review. I think this can be a flagship course with more efforts.

The explanation of TensorFlow is not enough and the programming homeworks have already a lot of already written (because, i would be very difficult to programming the all of the homework by ourselves in this stage of learning). I think it is better programming homeworks with examples more easy, but with more programming by ourselves.

At least, I think it is already well enough for the final evaluation, the automatic correction and then, the correction by peer only delay the evaluation.

I could not understand what the lecturer in the second week was saying. Overall good content but awful presentation. Exercises are ridiculous, my code is working fine, but since I do not use the same function as teachers and I do not get the same result to 0.00001, I cannot pass the class. Definitely will not be renewing this class. Think twice before signing up..I am sure the guys that made the class are really smart, and the content is high quality, but overall I am disappointed.