Essays about: "neurala nätverk"

Showing result 1 - 5 of 292 essays containing the words neurala nätverk.

  1. 1. Evaluating semantic similarity using sentence embeddings

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

    Author : Jacob Malmberg; [2021]
    Keywords : ;

    Abstract : Semantic similarity search is the task of searching for documents or sentences which contain semantically similar content to a user-submitted search term. This task is often carried out, for instance when searching for information on the internet. READ MORE

  2. 2. Conditional Imitation Learning for Autonomous Driving : Comparing two approaches

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

    Author : Jesper Hagström; [2021]
    Keywords : ;

    Abstract : Syftet med denna studie var att bygga, träna och testa two olika självkörande agenter med hjälp av maskininlärningstekniker, specifikt neurala nätverk. För att träna agenterna användes en teknik kallad Imitationsinlärning. READ MORE

  3. 3. Batch Active Learning for Deep Object Detection in Videos

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

    Author : Antonio Matosevic; [2021]
    Keywords : ;

    Abstract : Relatively recent progress in object detection can mainly be attributed to the success of deep neural networks. However, training such models requires large amounts of annotated data. This poses a two-fold problem, namely obtaining labelled data is a time-consuming process, and training models on many instances is computationally costly. READ MORE

  4. 4. Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network

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

    Author : Julia Ericson; [2021]
    Keywords : Bayesian Confidence Propagating Neural Network; Phonological Loop; Computational model; Immediate serial recall; Bayesian Confidence Propagating Neural Network; Fonologiska loopen; Datorsimulation; Sekventiellt korttidsminne;

    Abstract : In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. READ MORE

  5. 5. Experiments in speaker diarization using speaker vectors

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

    Author : Ming Cui; [2021]
    Keywords : Speaker Diarization; Embedding Extraction Module; Deep Learning; Supervised method; Unsupervised method; Talardiarisering; inbäddning av extraktionsmodul; djupinlärning; övervakad metod; oövervakad metod;

    Abstract : Speaker Diarization is the task of determining ‘who spoke when?’ in an audio or video recording that contains an unknown amount of speech and also an unknown number of speakers. It has emerged as an increasingly important and dedicated domain of speech research. READ MORE