Another excellent course for those who are beginners or have some intuition behind neural networks and need to hone skills, like me.

Thank you to Prof. Andrew Ng and team again for another great course. A fantastic course if you want to learn about computer vision.

Thank you again for letting me learn the fundamentals of CNN.

Now, I guess it's time for me to write a code myself on my own Pycharm!

I highly recommand everyone who wants to learn more about Convolutional Neural Network to take this course! There is a lot to learn

to be honest, it is the most useful course I have ever had, which give me the opportunity to find a job in artificial intelligence.

Although I am not very interested in image recognition, I loved the course very much. Thanks for creating for such a lovely course.

Very helpful introduction in convolutional neural networks. In depth analysis of applications and architectures in machine learning

Excellent course which helps to get intuition about CNN. Good overview of existing approaches to different application in CV field.

Great course to learn convolutional neural networks. The assignments of the course are great and Andrew Ng sir teaches really well.

Very nice course for the introduction to Convolutional Neural Networks. I hope I can use this in my future projects and researches.

This was the most challenging course of the whole specialization, since you had to learn Keras and Tensorflow. I really enjoyed it.

Go to the updated versions of the notebooks. Else you will get stuck in spite of having the correct solutions.

Very detailed course.

This course is really instructive and teaches cutting edge algorithms in the field. However it takes time and practise to grasp it.

This is a very meaty course. Lots of hands on exercise, and the material and techniques taught are very recent. Thank you Andrew!

Amazing!!

A bit harder than first and second courses of the specialization, but totaly doable for an old economist like me ;-)

Thanks

Great introduction to the concept of convolutions and the many image recognition and image detection algorithms that leverage them.

I have read blogs on CNN, but this is so far the best clear explanation and also explaining the current practice technologies used.

This module is a little bit more difficult than previous modules and more abstract. Nevertheless is interesting and useful as well.

Great Introduction and intuitions. To grasp the details, sometimes you should watch 2nd or even 3rd time. Next lesson can be cs231.

Excelente curso, que explica en forma clara y concisa las redes convolucionales. El mejor curso que he tomado de redes neuronales.

A great course to understand the basics of convolutional neural networks and it's state of the art applications in the real world.

a very instructive and useful course for understanding and convolutional network and a more advanced model for improving the model

Complete all round development of the idea of convolutions, why it works, how it works, and all the hidden unseen details revealed

After completing the course, I have built confidence to build my own CNN and also implement CNN using available sources in github.

As I say every time the course was simple and elegant and very easy to understand . Thanks Deeplearning.ai, Coursera and Andrew NG