All the concepts are well explained. The project gives a nice insight about how we can integrate different ML frameworks to build a project and also how to deploy the model as a web app by Flask.
This is a great hands-on project ! It is very well designed, and the instructor guides you to do it step by step. I enjoy this learning and practicing process a lot. Thank you !
Loved the project and the hands-on experience. Quick response to doubts !
By Belcy B•
It's very helpful to learn how to implement CNN using keras
By Satyam A•
Has some mistakes in the code, that could be rectified.
By Andres C G H•
The plataform has some problems to disabled block mayus
By Pramay S•
The coding part can be left out for the students.
By El H E•
this is an amazing guide project for beginners .
By Shivam S•
Good project for applying the concepts of CNN .
By Padmini K•
Good course for new learner's in a short time.
By Md. S I S•
good one. learned a lot
By ARAVAPALLI P B V M•
Good for beginners.
By Moresh M•
By sanjay p•
VERY NICE PROJECT
By daniel s•
By Sattenapally s c•
By Ankit K•
It is nice
By Matapathi S•
By Nelson R•
By Estefania T•
The content is good but the platform it still not comfortable to use. We have to code in a tiny screen, flexibility is needed. From a developer point of view, nice job Rhyme people, still work to do.
By Ayush G•
This could be better, the accuracy achieved is not appreciable.
Also, the user interface was bad, rhyme cloud desktop was causing too much of lag collab could be a better option
By Ankit P•
I didn't get the dataset . Sir If You give me the proper link to download the dataset then it is very helpful for me .
By suryanarayana d•
Good one for very beginners in computer vision. Not for intermediate or advanced audience
By Mukul A•
Not enough detail
By Ali E•
Interesting, but at best, I'd say it's still in beta testing. Shouldn't have been released to "paying" customers:
1) I was never able to access the cloud notebook. Kept asking for a token or password. Incidentally, I prefer being able to run stuff locally on my computer, which brings me to (2):
2) The notebooks and auxiliary files were missing the videos and the utils, further making things difficult to reproduce on one's own computer.
3) The presenter makes several mistakes/typos and corrects them in real time or even later. Seriously? You can't check this stuff and re-record it without mistakes? And, is it worth really watching the presenter type the code on the fly?
In conclusion, you get what you pay for. Not even worth asking for my money back.
By yashika M•
the course is not explainatory as expected.
material provided is just to complete a formality of doing a project and not learning implementation.
if you are an intermediate , i will recommend you to take course until and unless you know about concepts of data vizualisation, opencv, flask, basic of html,CNN using keras.
By Deepak Y V•
Course is a basic one. Take this project only if you are looking for a beginner level introduction into CNN with Keras. Not for people who have already done a course or has decent knowledge/hands on with CNN and Keras.