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.

Need to more specific about the instructions given for Programming Assignment

Good practical course. A bit heavy on visual images, but very informative.

Excellent materials and assignments! May be lectures can be a bit longer.

greaded assignments are needed as they help to understand the code better

the course is good, however, I feel that the content is stretched a lot.

The course could have been a bit more complicated. It feels too simple.

Last week excercise was a little bit challenging ,overall great course.

This Covers pretty well more than basics and dig little deep into CNNs.

Focusing more on the code for python beginners would be much better!

Could have had tougher exercises. Great basics course nevertheless!

a little bit too easy compared to Andrew Ng's deep learning course.

Excellent course, the teacher is good, I love learning all, thanks

actually I hope there will be the implementation of detection task

The homework assignments should be required and more challenging

The last assignment is poorly designed. Others are good enough.

Transfer learning part should have been in more detail. Thanks.

A little bit of more explanation of the notebooks are required

El curso es útil para implementar una red convolucional desde

A well taught course with interesting coursework and projects

One of the best courses offered by deeplearning.ai community

amazing!! I really understand the path with TensorFlow!!