Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.

Course is good to start but it should include other aspects of neural network than image processing.

This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!

A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.

This rate refers to my global opinion. I had some trouble in the third week project send. Thanks.

Assignments could be a little more tedious. Over all explanation of content in the course is good

Good course overall, but the exercise of the end of week 4 was really badly conceived/explained

Very interesting course. I've learned a lot. I would like to have a little more advanced topics

Some assignments are quite vague and can take up a lot of time to findout what the problem is.

It's a wonderful course! Pity that the data for the fourth exercise are not available anymore.

Great insight for the practical aspect of TensorFlow, add value on top of Andrew's DL courses.

Course was great but instructions for the coding exercises could be a little more explicit.

A lot of repetition. Stack traces, and error messages in the notebooks are less than clear

I hope it will be upgraded with graded weekly test (case study and building some models).

Good content, but lacks exercises that forces us to code ourselves to solve the problemas

Incredible course. Only comment is that the last exercise wasn't explained very clearly.

Found course a little lighter compared to other deeplearning courses. But great overall.

will be nice to have non-third party programming exercises that are graded by Coursera

Excellent course. Would have liked graded coding assignments like in the first course.

Great! Had some difficulties with the last excercise. But the rest was OK. Thanks!

More exercises should be available for students to practice and test their skills.

Some references to relevant code in tests would be nice, don't send me searching.

Straight to point with a lot of useful techniques! Interesting examples as well.

Nice course to learn about the basics about how to implement CNN's with keras.

No le pongo las 5 estrellas por la falta de ejercicios prácticos calificables.