Essays about: "alexnet"

Showing result 1 - 5 of 25 essays containing the word alexnet.

  1. 1. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

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

    Author : Bushra Alsabbagh; [2023]
    Keywords : Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Abstract : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. READ MORE

  3. 2. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Keywords : EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Abstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE

  4. 3. Investigation of Facial Age Estimation using Deep Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Lufei Ye; [2022]
    Keywords : ;

    Abstract : Age estimation from facial images has drawn increasing attention in the past fewyears. This thesis project performs the age group classification of facial imagesacquired in in-the-wild conditions using deep convolutional neural networkstechniques. READ MORE

  5. 4. Mapping DNNs onto the NoC Platform

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

    Author : Hanbo Xu; [2022]
    Keywords : ;

    Abstract : This thesis uses an existing NoC simulation platform to construct a Network on Chip-based many-core system. The network is an 8_8 mesh topology. This thesis chooses LeNet5, ResNet, VGGNet, and AlexNet as the computing load, and tries to obtain a deep neural network mapping algorithm based on a NoC design method that can be widely used. READ MORE

  6. 5. Structural Comparison of Data Representations Obtained from Deep Learning Models

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

    Author : Tommy Wallin; [2022]
    Keywords : Representation Learning; Deep learning models; Image Representations.; Representationsinlärning; Djupinlärningsmodeller; Bildrepresentationer;

    Abstract : In representation learning we are interested in how data is represented by different models. Representations from different models are often compared by training a new model on a downstream task using the representations and testing their performance. READ MORE