Evaluation of state-space models and widely used architectures in deep learning for heterogenous tasks

dc.contributor.author	Paul, Ankush
dc.contributor.author	Kumar, Vibhor (Advisor)
dc.date.accessioned	2024-09-20T14:08:02Z
dc.date.available	2024-09-20T14:08:02Z
dc.date.issued	2024-08-01
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/1672
dc.language.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	Introduction to Neural Network and State Space Model	en_US
dc.subject	Comparing Neural Network and State Space Model for Continuous Signal	en_US
dc.subject	Neural Network/Deep Learning Architecture and State Space Model for Categorical Data	en_US
dc.title	Evaluation of state-space models and widely used architectures in deep learning for heterogenous tasks	en_US
dc.type	Thesis	en_US