Essays about: "Bayesian Deep Learning"

Showing result 1 - 5 of 12 essays containing the words Bayesian Deep Learning.

  1. 1. Sum-Product Network in the context of missing data

    University essay from KTH/Matematisk statistik

    Author : Pierre Clavier; [2020]
    Keywords : Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Abstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE

  2. 2. Training Bayesian Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Johan Book; [2020]
    Keywords : artificial neural networks; ANN; convolutional neural networks; Physics and Astronomy;

    Abstract : Although deep learning has made advances in a plethora of fields, ranging from financial analysis to image classification, it has some shortcomings for cases of limited data and complex models. In these cases the networks tend to be overconfident in their prediction even when erroneous - something that exposes its applications to risk. READ MORE

  3. 3. Simultaneous Classification of Sets of Images Using Deep Learning and Clustering

    University essay from Lunds universitet/Matematik LTH

    Author : Nellie Carleke; Hugo Sellerberg; [2020]
    Keywords : Mathematics and Statistics;

    Abstract : Classification of cell images is conventionally done manually in hematology laboratories by medical technologists. CellaVision aims to automate this work in order to make the analysis process faster, better and more flexible. READ MORE

  4. 4. Human Age Prediction Based on Real and Simulated RR Intervals using Temporal Convolutional Neural Networks and Gaussian Processes

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Maximilian Pfundstein; [2020]
    Keywords : Statistics; Machine Learning; RR; RR intervals; ECG; Gaussian Processes; Health Care; Convolutional Neural Networks; Time Series; Data Simulation; Human Age Prediction;

    Abstract : Electrocardiography (ECG) is a non-invasive method used in medicine to track the electrical pulses sent by the heart. The time between two subsequent electrical impulses and hence the heartbeat of a subject, is referred to as an RR interval. READ MORE

  5. 5. 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