Sökning: "Gradient Decent"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Gradient Decent.

  1. 1. Optimizing First-Order Method Parameters via Differentiation of the Performance Estimation Problem

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Anton Åkerman; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis treats the problem of finding optimal parameters for first-order optimization methods. In part, we use the Performance Estimation Problem (PEP), a framework for convergence analysis of first-order optimization methods. LÄS MER

  3. 2. Building and Training a Fully Connected Deep Neural Network From Scratch

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Berglund; [2022]
    Nyckelord :Deep Neural Network; Machine Learning; Gradient Decent; MNIST.;

    Sammanfattning : Artificial Neural Networks make up the core of mostMachine Learning algorithms. In the past decade Machine learninghave successfully taken on fields such as image recognition,Data analytics and medical technologies. LÄS MER

  4. 3. Predicting Risk of Delays in Postal Deliveries with Neural Networks and Gradient Boosting Machines

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Matilda Söderholm; [2020]
    Nyckelord :Machine Learning; Artificial Neural Networks; Gradient Boosting; Delivery prediction; Delay prediction; Postal Deliveries;

    Sammanfattning : This thesis conducts a study on a data set from the Swedish and Danish postal service Postnord, comparing an artificial neural network (ANN) and a gradient boosting machine (GBM) for predicting delays in package deliveries. The models are evaluated based on F1-score for the important class which represents the data points that are delayed and needed to be identified. LÄS MER

  5. 4. Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gustaf Halvardsson; Johanna Peterson; [2020]
    Nyckelord :Sign language interpretation; machine learning; convolutional neural networks; transfer learning; image recognition; Teckenspråkstolkning; maskininlärning; convolutional neural networks; transfer learning; bildigenkänning;

    Sammanfattning : The automatic interpretation of signs of a sign language involves image recognition. An appropriate approach for this task is to use Deep Learning, and in particular, Convolutional Neural Networks. This method typically needs large amounts of data to be able to perform well. LÄS MER

  7. 5. Video Flow Classification : A Runtime Performance Study

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Filip Västlund; [2017]
    Nyckelord :Traffic classification; Network traffic; Machine learning; Code optimization; Video traffic classification;

    Sammanfattning : Due to it being increasingly common that users' data is encrypted, the Internet service providers today find it difficult to adapt their service for the users' needs. Previously popular methods of classifying users data does not work as well today and new alternatives is therefore desired to give the users an optimal experience. LÄS MER