Essays about: "Djup inlärning"

Showing result 1 - 5 of 8 essays containing the words Djup inlärning.

  1. 1. An empirical study on synthetic image generation techniques for object detectors

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

    Author : Claudio Salvatore Arcidiacono; [2018]
    Keywords : Object Detection; Synthetic Dataset; Deep Learning; Rendered Images; Computer Vision; Objektdetektion; Syntetisk datamängd; Djup inlärning; Återgivna bilder; Datorseende;

    Abstract : Convolutional Neural Networks are a very powerful machine learning tool that outperformed other techniques in image recognition tasks. The biggest drawback of this method is the massive amount of training data required, since producing training data for image recognition tasks is very labor intensive. READ MORE

  2. 2. Fashion Object Detection and Pixel-Wise Semantic Segmentation : Crowdsourcing framework for image bounding box detection & Pixel-Wise Segmentation

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

    Author : Mallu Mallu; [2018]
    Keywords : Image-segmentation; Image-localization; object-recognition; image-annotation; bounding-box regression; semantic-segmentation; pixel-wise segmentation; convolutional neural networks.;

    Abstract : Technology has revamped every aspect of our life, one of those various facets is fashion industry. Plenty of deep learning architectures are taking shape to augment fashion experiences for everyone. There are numerous possibilities of enhancing the fashion technology with deep learning. READ MORE

  3. 3. Fuzzer Test Log Analysis Using Machine Learning : Framework to analyze logs and provide feedback to guide the fuzzer

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

    Author : Jyoti Yadav; [2018]
    Keywords : Similarity Measures; Distance function; Machine learning; Clustering; Classification; Benchmarking; Likhetsåtgärder Avståndsfunktion; Maskininlärning; klustring; Klassificering; benchmarking;

    Abstract : In this modern world machine learning and deep learning have become popular choice for analysis and identifying various patterns on data in large volumes. The focus of the thesis work has been on the design of the alternative strategies using machine learning to guide the fuzzer in selecting the most promising test cases. READ MORE

  4. 4. Deep Convolutional Neural Network for Effective Image Analysis : DESIGN AND IMPLEMENTATION OF A DEEP PIXEL-WISE SEGMENTATION ARCHITECTURE

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Marco Ros Marti; [2017]
    Keywords : CNN; Co-CNN; segmentation; localization; RoI; masking; RoI masking; multi-task network; pixel resolution; overfitting; CNN; Co-CNN; segmentering; lokalisering; RoI; maskering; RoI- maskering; flera uppgiftsnätverk; pixelupplösning; övermontering; CNN; segmentació; localització; RoI; emmascarar; filtratge de RoIs; xarxa multi-tasca; resolució de píxel; overfitting;

    Abstract : This master thesis presents the process of designing and implementing a CNN-based architecture for image recognition included in a larger project in the field of fashion recommendation with deep learning. Concretely, the presented network aims to perform localization and segmentation tasks. READ MORE

  5. 5. Deep Active Learning for Short-Text Classification

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

    Author : Wenquan Zhao; [2017]
    Keywords : Active Learning; Deep Learning; Text Classification;

    Abstract : In this paper, we propose a novel active learning algorithm for short-text (Chinese) classification applied to a deep learning architecture. This topic thus belongs to a cross research area between active learning and deep learning. READ MORE