Essays about: "Bayesian Neural Network"

Showing result 36 - 40 of 69 essays containing the words Bayesian Neural Network.

  1. 36. Improving Situational Awareness in Aviation: Robust Vision-Based Detection of Hazardous Objects

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Alexandra Levin; Najda Vidimlic; [2020]
    Keywords : Object Detection; Custom Data Set; Faster RCNN; ResNet-50-FPN; Aviation; Situational Awareness;

    Abstract : Enhanced vision and object detection could be useful in the aviation domain in situations of bad weather or cluttered environments. In particular, enhanced vision and object detection could improve situational awareness and aid the pilot in environment interpretation and detection of hazardous objects. READ MORE

  3. 37. Attractor Neural Network modelling of the Lifespan Retrieval Curve

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

    Author : Patrícia Pereira; [2020]
    Keywords : reminiscence bump; attractor neural network; Bayesian Confidence Propagation Neural Network BCPNN ; recency; synaptic plasticity; episodic memory; ”reminiscence bump”; attraktorneuronnät; Bayesian Confidence Propagation Neural Network BCPNN ; nysseffekt; synaptisk plasticitet; episodiskt mine.;

    Abstract : Human capability to recall episodic memories depends on how much time has passed since the memory was encoded. This dependency is described by a memory retrieval curve that reflects an interesting phenomenon referred to as a reminiscence bump - a tendency for older people to recall more memories formed during their young adulthood than in other periods of life. READ MORE

  4. 38. AI Verification Application : Development of an Application for ArtificialNeural Network Verification and Investigation of Hyperparameters for Single Shot Detection Models

    University essay from KTH/Hälsoinformatik och logistik

    Author : Joel Vik; Fredrik Lindgren; [2020]
    Keywords : ;

    Abstract : Abstract Hyperparameter tuning for Artificial Neural Network models is an important part in the process of producing the best model for a given task. The process heavily relies on the availability of time and computing resources. READ MORE

  5. 39. Training Bayesian Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    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

  6. 40. 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