Essays about: "residual neural network"

Showing result 21 - 25 of 30 essays containing the words residual neural network.

  1. 21. Evaluation of Temporal Convolutional Networks for Nanopore DNA Sequencing

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

    Author : Jakob Stymne; Oliver Welin Odeback; [2020]
    Keywords : Nanopore Sequencing; DNA Sequencing; DeepLearning; Temporal Convolutional Network;

    Abstract : Nanopore sequencing, a recently developed methodfor DNA sequencing, involves applying a constant electricfield over a membrane and translocating single-stranded DNAmolecules through membrane pores. This results in an electricalsignal, which is dependent on the structure of the DNA. READ MORE

  3. 22. Video Saliency Detection using Deep Learning

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

    Author : Jakob Wiesinger; [2019]
    Keywords : ;

    Abstract : A deep learning model for video saliency detection is proposed and trained. The neural network architecture combines recent innovations in the field: A twostream approach merges two separate input streams for appearance and motion aspects of saliency. Pre-trained convolutional features detect objectness. READ MORE

  4. 23. A comparison between bootstrap and dropout for uncertainty estimates of time series forecast using a convolutional neural network

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

    Author : Elin Vallbo; [2019]
    Keywords : ;

    Abstract : Forecasting the future is important in many applications, including forecasting future sales volumes. However, point forecasts without any estimates of the uncertainty are not as useful as if the uncertainty in the forecast is included. READ MORE

  5. 24. A Comparative Analysis of Machine Learning Algorithms in Binary Facial Expression Recognition

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

    Author : Frans Nordén; Filip von Reis Marlevi; [2019]
    Keywords : Support vector machine; extreme learning ma- chine; convolutional neural network; transfer learning; residual neural network; binary facial expression recognition; FER2013; JAFFE.;

    Abstract : In this paper an analysis is conducted regarding whether a higher classification accuracy of facial expressions are possible. The approach used is that the seven basic emotional states are combined into a binary classification problem. READ MORE

  6. 25. Optical Inspection for Soldering Fault Detection in a PCB Assembly using Convolutional Neural Networks

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

    Author : Muhammad Bilal Akhtar; [2019]
    Keywords : Automatic Optical Inspection; Deep Learning; Convolutional Neural Networks; Object Detection; Soldering Bridge Fault; YOLO; Optimization; Automatisk optisk inspektion; Djup lärning; Konvolutional Neural Network; Objektdetektion; Lödbronfel; YOLO; Optimering;

    Abstract : Convolutional Neural Network (CNN) has been established as a powerful toolto automate various computer vision tasks without requiring any aprioriknowledge. Printed Circuit Board (PCB) manufacturers want to improve theirproduct quality by employing vision based automatic optical inspection (AOI)systems at PCB assembly manufacturing. READ MORE