Essays about: "convolutional neural networks"

Showing result 1 - 5 of 96 essays containing the words convolutional neural networks.

  1. 1. Detecting Faulty Piles of Wood using Anomaly Detection Techniques

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Jonathan Olsson; [2021]
    Keywords : Machine learning; Deep learning; Anomaly Detection; Convolutional Neural Network; Autoencoder; Generative Adversarial Network; Computer vision;

    Abstract : The forestry and the sawmill industry have a lot of incoming and outgoing piles of wood. It's important to maintain quality and efficiency. This motivates an examination of whether machine learning- or more specifically, anomaly detection techniques can be implemented and used to detect faulty shipments. READ MORE

  2. 2. Group Invariant Convolutional Boltzmann Machines

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Maria Lindström; [2020-12-04]
    Keywords : Convolutional Boltzmann Machines; Convolutional neural networks; artificial neural networks; machine learning; group invariance; group equivariance;

    Abstract : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. READ MORE

  3. 3. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Fredrik Skärberg; [2020-11-26]
    Keywords : Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

    Abstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE

  4. 4. Semantic Segmentation of Urban Scene Images Using Recurrent Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Venkata Satya Sai Ajay Daliparthi; [2020]
    Keywords : Image Segmentation; Deep Learning; Convolutional Neural Networks; Recurrent Neural Networks; Encoder-Decoder Models; and Scene Understanding;

    Abstract : Background: In Autonomous Driving Vehicles, the vehicle receives pixel-wise sensor data from RGB cameras, point-wise depth information from the cameras, and sensors data as input. The computer present inside the Autonomous Driving vehicle processes the input data and provides the desired output, such as steering angle, torque, and brake. READ MORE

  5. 5. Training Bayesian Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Johan Book; [2020]
    Keywords : artificial neural networks; ANN; convolutional neural networks; Physics and Astronomy;

    Abstract : Although deep learning has made advances in a plethora of fields, ranging from financial analysis to image classification, it has some shortcomings for cases of limited data and complex models. In these cases the networks tend to be overconfident in their prediction even when erroneous - something that exposes its applications to risk. READ MORE