Deep Learning for non-continuous dataset I am working with this dataset which is record of student academic details and I want to predict the student's performance.

since the dataset is non-continuous I cannot apply CNN on this dataset.

How can I apply Deep learning on this kind(non-continuous) of dataset. I searched online but could not find anything relevant 

Thank you!!
Deep Learning excels in problems where the data is relatively unstructured. Stacked layers help find conceptual features that can be used to infer rules. 

Your dataset seems very structured at first glance. And, as you pose, it doens't look like it needs specialised layers that exploit sequential or spatial relations. 

Neural network wise, this would warrant one or two fully connected layers, connected to an output layer (shaped to your wishes). However, typically, problems like these are tackled with a more biased approaches (eg Decision Tree Learners).