Sökning: "Neural Networks"

Visar resultat 6 - 10 av 493 avhandlingar innehållade orden Neural Networks.

  1. 6. Characterizing Piecewise Linear Neural Networks

    Författare :Anton Johansson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; automotive applications.; neural network; machine learning; piecewise linear;

    Sammanfattning : Neural networks utilizing piecewise linear transformations between layers have in many regards become the default network type to use across a wide range of applications. Their superior training dynamics and generalization performance irrespective of the nature of the problem has resulted in these networks achieving state of the art results on a diverse set of tasks. LÄS MER

  3. 7. Lasso Regularized Neural Networks

    Författare :Oskar Allerbo; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : .... LÄS MER

  4. 8. Deep Neural Networks and Image Analysis for Quantitative Microscopy

    Författare :Sajith Kecheril Sadanandan; Carolina Wählby; Petter Ranefall; Ewert Bengtsson; Jeroen van der Laak; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep neural networks; convolutional neural networks; image analysis; quantitative microscopy; bright-field microscopy; Datoriserad bildbehandling; Computerized Image Processing;

    Sammanfattning : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. LÄS MER

  5. 9. Segmenting and Tagging Text with Neural Networks

    Författare :Yan Shao; Joakim Nivre; Jörg Tiedemann; Christian Hardmeier; Yue Zhang; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; neural networks; sequence labelling; multilinguality; word segmentation; sentence segmentation; morpheme segmentation; transliteration; joint word segmentation and POS tagging;

    Sammanfattning : Segmentation and tagging of text are important preprocessing steps for higher-level natural language processing tasks. In this thesis, we apply a sequence labelling framework based on neural networks to various segmentation and tagging tasks, including sentence segmentation, word segmentation, morpheme segmentation, joint word segmentation and part-of-speech tagging, and named entity transliteration. LÄS MER

  7. 10. Word Vector Representations using Shallow Neural Networks

    Författare :Oluwatosin Adewumi; Marcus Liwicki; Marco Kuhlmann; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Word vectors; NLP; Neural networks; Embeddings; Maskininlärning; Machine Learning;

    Sammanfattning : This work highlights some important factors for consideration when developing word vector representations and data-driven conversational systems. The neural network methods for creating word embeddings have gained more prominence than their older, count-based counterparts. LÄS MER