This is by far one of the best guided project trainings I've ever taken. Real dataset, training and validation performance visualisations, rationale behind a CNN algorithm and much more.. Thank you for the course.

I personally think that it would have been great if more info about input data (why use p-file, is it common, how are those binary files generated etc.) was given in Task#2 chapter.

Very nice course, everything was explained perfectly.

Can also add about testing the trained model using external data, like if we want to give an input and perform prediction then how it is done.

Instructor was efficient in delivering the knowledge and I understood it very well. The exercises were also great. Overall, my aim for taking this course had been accomplished.

Thank you so much for such an awesome course ryan ahmad sir. I got 100/100 from your teaching. I wish i could meet you personally.

no sourcecode is available and in my case virtual machine not respond well

the instructor explains very well each and every line of code.

Exceptional hands-on experience

The best ryhme course ever

Excellent project

Good Explanation

Extra Ordinary

Very Helpful !

Good exercise

very useful

EXCELLENT

thanks

great

good

Good

nice

good

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Course misses detailed explanation but its good for those who have just learned CNN's and want a quick hands on experience.

Very interesting topic and best mentor Ryan Ahmed.Thank you very much Sir also Coursera

It was an amazing experience for me to learn something different.