Essays about: "Neurala nätverk"

Showing result 1 - 5 of 345 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. A Study of Adaptive Random Features Models in Machine Learning based on Metropolis Sampling

    University essay from KTH/Numerisk analys, NA

    Author : Bing Bai; [2021]
    Keywords : random features; neural network; optimization method; machine learning;

    Abstract : Artificial neural network (ANN) is a machine learning approach where parameters, i.e., frequency parameters and amplitude parameters, are learnt during the training process. Random features model is a special case of ANN that the structure of random features model is as same as ANN’s but the parameters’ learning processes are different. READ MORE

  4. 4. 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

  5. 5. 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