Essays about: "Bayesian Neural Network"

Showing result 26 - 30 of 69 essays containing the words Bayesian Neural Network.

  1. 26. Hyperparameters relationship to the test accuracy of a convolutional neural network

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Felix Lundh; Oscar Barta; [2021]
    Keywords : Machine learning; image classification; hyperparameter; convolutional neural network; grid search; Bayesian optimization; cifar-10;

    Abstract : Machine learning for image classification is a hot topic and it is increasing in popularity. Therefore the aim of this study is to provide a better understanding of convolutional neural network hyperparameters by comparing the test accuracy of convolutional neural network models with different hyperparameter value configurations. READ MORE

  3. 27. Belief-aided Robust Control for Remote Electrical Tilt Optimization

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

    Author : Jack Jönsson; [2021]
    Keywords : Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE

  4. 28. EVALUATING THE IMPACT OF UNCERTAINTY ON THE INTEGRITY OF DEEP NEURAL NETWORKS

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

    Author : Jakob Harborn; [2021]
    Keywords : Uncertainty; Deep Neural Network; Bayesian Neural Network; Dependability; Integrity; Probability;

    Abstract : Deep Neural Networks (DNNs) have proven excellent performance and are very successful in image classification and object detection. Safety critical industries such as the automotive and aerospace industry aim to develop autonomous vehicles with the help of DNNs. READ MORE

  5. 29. Fantastic spiking neural networks and how to train them

    University essay from

    Author : David Weinberg; [2021]
    Keywords : Machine learning; Spiking neural network;

    Abstract : Spiking neural networks are a new generation of neural networks that use neuronal models that are more biologically plausible than the typically used perceptron model. They do not use analog values to perform computations, as is the case in regular neural networks, but rely on spatio-temporal information encoded into sequences of delta-functions known as spike trains. READ MORE

  6. 30. Effects of Network Size in a Recurrent Bayesian Confidence Propagating Neural Network With two Synaptic Traces

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

    Author : William Laius Lundgren; Ludwig Karlsson; [2021]
    Keywords : BCPNN; computational brain modelling; shortterm memory; sequential learning; hypercolumns;

    Abstract : A modular Recurrent Bayesian Confidence PropagatingNeural Networks (BCPNN) with two synaptic time tracesis a computational neural network that can serve as a modelof biological short term memory. The units in the network aregrouped into modules called hypercolumns within which there isa competitive winner-takes-all mechanism. READ MORE