Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Deep Neural Networks"

Now showing items 1-3 of 3

    • Low Power Analog Neural Network Framework with MIFGMOS 

      Tripathi, Ankit
      Ever since the beginning of the notion behind the term 'cloud computing,' i.e., to share the pro- cessing and storage capabilities of a centralized system, there has been a signi cant increase in the availability of raw ...

    • Model Extraction and Active Learning 

      Shukla, Aditya
      Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ...

    • OTFS Transceivers Design using Deep Neural Networks 

      Naikoti, Ashwitha
      Next generation wireless systems are envisioned to provide a variety of services with a wide range of performance requirements. Particularly, demand for high-mobility use cases involving high-speed trains, UAVs/drones, and ...