Seeking practical ConvNets practice Platform

Dears Leaders Team ,

I would like to inform you that I have nearly completed the ConvNets course, and Professor Andrew’s explanations were excellent. However, I now want to start hands-on practice, and I found Kaggle not very user-friendly for beginners. I am looking for a platform that focuses solely on practical ConvNets exercises with simple datasets to build hands-on experience. Could you please recommend any suitable platform for this purpose?

Thank you very much for your assistance.

I don’t have an answer to your question.
Why do you not find kaggle friendly?

because they are focusing on competitions between candidates and the winners will get revenue or hiring and the shared code not teaching you the algorithms as well due to each individual write code from his respective and also you will found many tasks their not completed due to also their struggling too and for some how they stopped to continue and because of that we are read half code without any result .. this what i found during checking for task. Recently i purchased Jetson Orin Nano super dev kit from Nvidia with 1024 cuda which allow me to train real projects like yolo and they have their forums and community

Not every kaggle problem results in a payout. Here’s a beginner friendly problem which has no submission deadline and has a rolling leaderboard:

As far as problem submissions are concerned, the platform doesn’t provide the solution to a problem. It’s upto the reader to view previous submissions and figure things out.

Please start here to learn more about competitions:

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Thank you balaji for your explanation and your quick response however i will try to read and check if i can complete the Digit Recognizer .
i checked and i still found that not able to doing on myself, I already diving in another way.
as i mentioned i have been invested in Nvidia kit with their courses and their courses are mostly for real industries projects which will support me a lot to expand my career from Software engineer to AI Edge/Embedding Robotics .. And i believe from there i can not only understand the AI but practiced on real device and use precision and control data on real devices like jetson and how jetson connected and control Raspberry pi kit and make python and C++ working together .