Essays about: "Branched Neural Network"

Found 3 essays containing the words Branched Neural Network.

  1. 1. Deep and Machine Learning on Imaging Flow Cytometry

    University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Author : Xinyi Dai; [2022]
    Keywords : Imaging flow cytometry; image-based analysis; machine learning;

    Abstract : Cell painting uses fluorescent agents to label the compositions or organelles of cells to evoke morphological profiling. Imaging flow cytometry (IFC) is a multi-channel imaging technique to acquire individual cell images, including the brightfield and multiple single fluorescence channels. READ MORE

  2. 2. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data

    University essay from Lunds universitet/Matematisk statistik

    Author : Amanda Nilsson; [2020]
    Keywords : Multitask Learning; Convolutional Neural Network CNN ; Branched Neural Network; Dynamic Global Vegetation Models DGVM ; Automated Feature Extraction; Feature Importance; Supervised Machine Learning; Emulator; Surrogate Model; Response Surface Model; Approximation Model; Metamodeling; Model Composition; Regularization; Robustness; Hyperparameter Optimization; Mathematics and Statistics;

    Abstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE

  3. 3. Peptide Retention Time Prediction using Artificial Neural Networks

    University essay from KTH/Matematisk statistik

    Author : Sara Väljamets; [2016]
    Keywords : ;

    Abstract : This thesis describes the development and evaluation of an artificial neural network, trained to predict the chromatographic retention times of peptides, based on their amino acid sequence. The purpose of accurately predicting retention times is to increase the number of protein identifications in shotgun proteomics and to improve targeted mass spectrometry experiment. READ MORE