Essays about: "Computer networks thesis"

Showing result 41 - 45 of 330 essays containing the words Computer networks thesis.

  1. 41. Data Collection and Layout Analysis on Visually Rich Documents using Multi-Modular Deep Learning.

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

    Author : Mattias Stahre; [2022]
    Keywords : DeepLearning; Machine Learning; Dataset Collection; Annotation; Labeling; Transformer Network; Multi-Modal; Computer Vision; Natural Language Processing; Embedding; LayoutLMv2; DocBank; Djupinlärning; Maskininlärning; Datasamling; Annotering; Märkning; Transformernätverk; Multi-modulär; Datorsyn; Naturlig Språkbehandling; Inbäddning; LayoutLMv2; DocBank;

    Abstract : The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. READ MORE

  2. 42. Stock Price Prediction Using Machine Learning

    University essay from Södertörns högskola/Nationalekonomi

    Author : Yixin Guo; [2022]
    Keywords : Machine Learning; Stock Price; Time Series Data; Deep Learning;

    Abstract : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. READ MORE

  3. 43. Optimizing L2-regularization for Binary Classification Tasks

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

    Author : Oskar Bolinder; [2022]
    Keywords : Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

    Abstract : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. READ MORE

  4. 44. Active Learning for Solving Expensive Optimization Problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Siwei Fu; [2022]
    Keywords : ;

    Abstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE

  5. 45. Measuring Porosity in Ceramic Coating using Convolutional Neural Networks and Semantic Segmentation

    University essay from Linköpings universitet/Datorseende

    Author : Filip Isaksson; [2022]
    Keywords : Deep Learning; Image processing; Transfer Learning; Material Science;

    Abstract : Ceramic materials contain several defects, one of which is porosity. At the time of writing, porosity measurement is a manual and time-consuming process performed by a human operator. READ MORE