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

Now showing items 1-4 of 4

    • Analysis, Design, and Acceleration of DNN Training Preprocessing Pipelines 

      Jha, Keshav Vinayak
      The performance of deep neural network (DNN) training is a function of both the training compute latency and the latency to fetch and preprocess the input data needed to train the model. With advance- ments in GPUs and ...

    • 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 ...