Essays about: "Bayesian Deep Learning"

Showing result 1 - 5 of 7 essays containing the words Bayesian Deep Learning.

  1. 1. Deep Neural Network Compression for Object Detection and Uncertainty Quantification

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Mohammad Ahraz Asif; Georgios Tzelepis; [2019-11-21]
    Keywords : Deep Learning; Model Compression; Knowledge Distillation; Bayesian Deep Learning; Object Detection;

    Abstract : Neural networks have been notorious for being computational expensive. Their demand for hardware resources prohibits their extensive use in embedded devices and puts restrictions on tasks like real time tracking. READ MORE

  2. 2. BRB based Deep Learning Approach with Application in Sensor Data Streams

    University essay from Luleå tekniska universitet/Datavetenskap

    Author : Sami Kabir; [2019]
    Keywords : BRBES; Deep Learning; integration; sensor data; predict;

    Abstract : Predicting events based on available data is an effective way to protect human lives. Issuing health alert based on prediction of environmental pollution, executing timely evacuation of people from vulnerable areas based on prediction of natural disasters are the application areas of sensor data stream where accurate and timely prediction is crucial to safeguard people and assets. READ MORE

  3. 3. Machine Learning for Sparse Time-Series Classification - An Application in Smart Metering

    University essay from KTH/Matematisk statistik

    Author : Carl Ridnert; [2019]
    Keywords : ;

    Abstract : Smart Meters are measuring devices collecting labeled time series data of utility consumptions from sub-meters and are capable of automatically transmit-ting this between the customer and utility companies together with other companies that offer services such as monitoring of consumption and cleaning of data. The smart meters are in some cases experiencing communication errors. READ MORE

  4. 4. Optimizing process parameters to increase the quality of the output in a separator : An application of Deep Kernel Learning in combination with the Basin-hopping optimizer

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Eric Herwin; [2019]
    Keywords : Industrial process; Optimization; Gaussian Process; Deep Kernel Learning; Basin-hopping;

    Abstract : Achieving optimal efficiency of production in the industrial sector is a process that is continuously under development. In several industrial installations separators, produced by Alfa Laval, may be found, and therefore it is of interest to make these separators operate more efficiently. READ MORE

  5. 5. Quantifying uncertainty in structural condition with Bayesian deep learning : A study on the Z-24 bridge benchmark

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Steinar Asgrimsson; [2019]
    Keywords : Bayesian Deep Learning; Autoencoders; Bridge Structural Health Monitoring; Bridge Damage Detection;

    Abstract : A machine learning approach to damage detection is presented for a bridge structural health monitoring system, validated on the renowned Z-24 bridge benchmark dataset where a sensor instrumented, threespan bridge was realistically damaged in stages. A Bayesian autoencoder neural network is trained to reconstruct raw sensor data sequences, with uncertainty bounds in prediction. READ MORE