Essays about: "deep learning"

Showing result 11 - 15 of 520 essays containing the words deep learning.

  1. 11. 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

  2. 12. A Digits-Recognition Convolutional Neural Network on FPGA

    University essay from Linköpings universitet/Datorteknik

    Author : Zhenyu Wang; [2019]
    Keywords : ;

    Abstract : A convolutional neural network (CNN) is a deep learning framework that is widely used in computer vision. A CNN extracts important features of input images by perform- ing convolution and reduces the parameters in the network by applying pooling operation. READ MORE

  3. 13. Active Stereo Reconstruction using Deep Learning

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Helena Kihlström; [2019]
    Keywords : Computer Vision; Deep Learning; Stereo Reconstruction;

    Abstract : Depth estimation using stereo images is an important task in many computer vision applications. A stereo camera contains two image sensors that observe the scene from slightly different viewpoints, making it possible to find the depth of the scene. An active stereo camera also uses a laser projector that projects a pattern into the scene. READ MORE

  4. 14. 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

  5. 15. Email Classification : An evaluation of Deep Neural Networks with Naive Bayes

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : John Michailoff; [2019]
    Keywords : Machine learning; neural network; DNN; Naive Bayes; network complexity;

    Abstract : Machine learning (ML) is an area of computer science that gives computers the ability to learn data patterns without prior programming for those patterns. Using neural networks in this area is based on simulating the biological functions of neurons in brains to learn patterns in data, giving computers a predictive ability to comprehend how data can be clustered. READ MORE