Essays about: "fully connected networks"

Showing result 21 - 25 of 54 essays containing the words fully connected networks.

  1. 21. Deep Learning Based Classification of Rail Defects Using On-board Monitoring in the Stockholm Underground

    University essay from KTH/Spårfordon

    Author : Tobias Niewalda; [2020]
    Keywords : ;

    Abstract : The purpose of this work is to find out if an artificial neural network can be useful purpose of this work is to find out if an artificial neural network can be useful in order to detect rail squats with the existing Quiet Track Measurement System (QTMS). Squats are surface-initiated rail defects which arise due to rolling contact fatigue. READ MORE

  3. 22. Convolutional Neural Networks on FPGA and GPU on the Edge: A Comparison

    University essay from Uppsala universitet/Signaler och system

    Author : Linus Pettersson; [2020]
    Keywords : Neural Networks; FPGA; GPU; MNIST; Cifar-10; TensorFlow; PYNQ;

    Abstract : When asked to implement a neural network application, the decision concerning what hardware platform to use may not always be easily made. This thesis studies various relevant platforms with regards to performance, power efficiency and usability, with the purpose of providing a basis for such decisions. READ MORE

  4. 23. Deep Learning Pupil Center Localization

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

    Author : Johannes Deselaers; [2020]
    Keywords : ;

    Abstract : This project strives to achieve high performance object localization with Convolutional Neural Networks (CNNs) - in particular for pupil centers in the context of remote eye tracking systems. Three different network architectures suitable to the task are developed, evaluated and compared - one based on regression using fully connected layers, one Fully Convolutional Network and one Deconvolutional Network. READ MORE

  5. 24. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data

    University essay from Lunds universitet/Matematisk statistik

    Author : Amanda Nilsson; [2020]
    Keywords : Multitask Learning; Convolutional Neural Network CNN ; Branched Neural Network; Dynamic Global Vegetation Models DGVM ; Automated Feature Extraction; Feature Importance; Supervised Machine Learning; Emulator; Surrogate Model; Response Surface Model; Approximation Model; Metamodeling; Model Composition; Regularization; Robustness; Hyperparameter Optimization; Mathematics and Statistics;

    Abstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE

  6. 25. Demand Forecasting Of Outbound Logistics Using Machine learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Ashik Talupula; [2019]
    Keywords : Demand forecasting; Time series; Outbound logistics; Machine learning.;

    Abstract : Background: long term volume forecasting is important for logistics service providers for planning their capacity and taking the strategic decisions. At present demand is estimated by using traditional methods of averaging techniques or with their own experiences which often contain some error. READ MORE