Hey guys !
I like astronomy but recently I am more interested into deep learning and been doing some projects for classification problems.
I am finding a way to combine astronomy and deep learning.
Hi there! There are lots of machine learning/astronomy project ideas online. Here is a Quora answer to a question similar to yours, with a couple of interesting ideas. There are lots of astronomy data sets available online (e.g. here is a collection of a few on Kaggle), so in theory you could take any of them and try and craft your own project, although Kaggle has lots of projects built in.
Well there is plenty of data available. I would recommend something simple that is not open to interpretation.
For example a binary classification of exoplanets based on their characteristics into rocky/gaseous. Datasets are pretty small for this case, and thus easy to check for inconsistencies. There are numerous variables so you can learn some feature selection/synthesis and labels are intuitive.
And you can easily generalize the classifier to wok with more specific categories, like hot jupiter or super-earth.