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.

The Project is good. But the access to cloud resource was for real less time. No response has been given by trainer when asked doubts about errors. The way of teaching was quite impressive.

Explaining the underlying concepts was done well and the overfitting mistakes done by users has been adressed well here. A few excercises to find syntax during the mini challenges was good . Final assignment involves right balance of conceptuality and hands on.

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.

The comprehensive explanations helped me a lot and now I can build a project of my own.

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

Great project materials. Great instructor; beautifully demonstrated.

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

It was perfect. I learn CNN in a practical way.

Great project. Learned a lot. Thank you !

Very Nicely Presented , Great Explanation

Exceptional hands-on experience

The best ryhme course ever

Great course for CNN

Excellent project

Very Good Course

Good Explanation

Extra Ordinary

Very Helpful !

best tutorial

Good exercise

very useful

EXCELLENT