Essays about: "Computer networks thesis"

Showing result 1 - 5 of 121 essays containing the words Computer networks thesis.

  1. 1. Generation of Synthetic Images with Generative Adversarial Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Mousa Zeid Baker; [2018]
    Keywords : classification; deep learning; generative adversarial network; machine learning;

    Abstract : Machine Learning is a fast growing area that revolutionizes computer programs by providing systems with the ability to automatically learn and improve from experience. In most cases, the training process begins with extracting patterns from data. The data is a key factor for machine learning algorithms, without data the algorithms will not work. READ MORE

  2. 2. Sentiment analysis of Swedish reviews and transfer learning using Convolutional Neural Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Johan Sundström; [2018]
    Keywords : Sentiment analysis; transfer learning; domain adaption; convolutional neural networks; cnn; machine learning; word2vec;

    Abstract : Sentiment analysis is a field within machine learning that focus on determine the contextual polarity of subjective information. It is a technique that can be used to analyze the "voice of the customer" and has been applied with success for the English language for opinionated information such as customer reviews, political opinions and social media data. READ MORE

  3. 3. Neural Networks for Semantic Segmentation in the Food Packaging Industry

    University essay from Linköpings universitet/Datorseende

    Author : Mattias Carlsson; [2018]
    Keywords : Deep learning; neural networks; semantic segmentation;

    Abstract : Industrial applications of computer vision often utilize traditional image processing techniques whereas state-of-the-art methods in most image processing challenges are almost exclusively based on convolutional neural networks (CNNs). Thus there is a large potential for improving the performance of many machine vision applications by incorporating CNNs. READ MORE

  4. 4. Reinforcement learning for robotic manipulation

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Isac Arnekvist; [2017]
    Keywords : Reinforcement Learning; Computer vision; Robotics; Pose estimation; Manipulation;

    Abstract : Reinforcement learning was recently successfully used for real-world robotic manipulation tasks, without the need for human demonstration, usinga normalized advantage function-algorithm (NAF). Limitations on the shape of the advantage function however poses doubts to what kind of policies can be learned using this method. READ MORE

  5. 5. Recognizing Semantics in Human Actions with Object Detection

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Oscar Friberg; [2017]
    Keywords : Convolutional; Neural Networks; Artificial; Computer; Vision; Human; Action; Recognition; Faltnings; Neurala nätverk; Artificiell; Dator; Seende; Mänsklig; Aktivitet; Igänkänning;

    Abstract : Two-stream convolutional neural networks are currently one of the most successful approaches for human action recognition. The two-stream convolutional networks separates spatial and temporal information into a spatial stream and a temporal stream. READ MORE