Genial el curso. Muchos ejemplos prácticos y usables para todo tipo de situaciones. Me gusta mucho como explican los profesores.

Great course. Introduces you to various data generation techniques which can be really useful when dealing with smaller dataset.

The course is very great! You can see how convolution works, image processing, transfer learning and so on. Thank you teachers!

Although the topics are getting more complex, I liked how the lecturer keeps it simple and relates each data to the real world.

This course worked as a great reference for my project on Neural Networks. This is one of the great and well-structured course.

Clearly explained every detail of the topic. Assignments were not too much challenging in case you did Lab exercises properly.

I enjoyed this course a lot, but I missed the code evaluation step. On the other hand, the content was as good as it has been.

Fun course. A good balance of easy and challenging material. The lessons based primarily on notebooks, and are very hands-on.

It was a very helpful course. The discussions forum help a bit. Maybe, more questions asked or answers could help even more.

Really clear and with the exact amount of examples. (I would like to see more examples and not only the ones seen in class)

course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

Pretty good introduction to CNNs with Tensorflow. Great idea with exercise assignments to finish milestones in the course!

Simply the best course to implement convolution neural network in tensorflow but don't look for deep understanding of CNN.

One of the best online courses I've taken. Well explained, accessible, and references so that you can deep dive as needed.

the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

awesome teacher

very practical hands-on assignments and excerices

helpfull assistants for problem quick problem solving

I think this is a useful, understandable and practical course. I liked it. The codes in Jupyter notebooks are very good.

It's a great course to get the basics of CNN. The last lab demands some tricks that are covered in the discussion forum.

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

Excellent Course for exploring aspects of a Convolutional Neural Network in TensorFlow and its use cases in real life.