The project was straight to the point and the instructor did not waste any time talking about every basic code segment. The code used in the project is the most optimised and simple code of CNN using Keras I have ever seen. Thanks to Coursera for the new guided projects.

good

Need more explanation. Tough to understand every concept for beginners with little knowledge about CNN. Cover some theory before going to practice.

Great tutorial, however, He needs to give some more explanations on why he does what he does.

Easy to understand once we are okay with the specific terms and its roles in the image processing techniques and that too with keras its a versatile one. Great tool and not to be missed by any ML engineer.

Really enjoyed learning from Amit Yadav. He promptly answers any query posted in the discussion forum. Looking forward to learning more from him.

This is a very good guided project.

I thank Amit Yadav and Coursera for his teaching in Image Classification with CNNs using Keras.

Thank You

Great hands on CNN project.

The instructor's explanation and pace are very good.

Thank you Coursera

if you have knowledge about CNN and Keras then it is good project as a practice and revision.

project is good and the way of explaining the project is also good

Very good course , deep understanding of an application of CNN

Easy to understand and it is good to start with for beginners.

It's a very helpful project for first time working with CNN.

Thanks

Amit Yadav for providing hug information about keras

Learnt CNN and keras.Interesting interactive explanation

very nice and useful courser for learning practical

Its a good course for practicing your concepts

Very well explained and easy to understand.

It's a good beginner project to start on.

It is great project for the beginner.

This project is helpfull for students

Thankyou!

It was a good experience

Thank you . It is really helpfull

very excellent of the teaching

Wonderful learning experience