Essays about: "ResNet"

Showing result 1 - 5 of 78 essays containing the word ResNet.

1. 1. The Impact of Deep Neural Network Pruning on the Hyperparameter Performance Space: An Empirical Study

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Jonna Matthiesen; [2023-10-24]
   Keywords : Compression; Deep Learning; DNN; Hyperparameters; Optimization; Pruning; Hyperparameter Optimisation; Hyperparameter Tuning;

   Abstract : With the continued growth of deep learning models in terms of size and computational requirements, the need for efficient models for deployment on resource-constrained devices becomes crucial. Structured pruning has emerged as a proven method to speed up models and reduce computational requirements. READ MORE

3. 2. 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

4. 3. Network Orientation and Segmentation Refinement Using Machine Learning

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Michael Nilsson; Jonatan Kentson; [2023]
   Keywords : deep learning; semantic segmentation; orientation learning; road networks; retina networks;

   Abstract : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. READ MORE

5. 4. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

   Author : Javier Ferre Martin; [2023]
   Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE

6. 5. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

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

   Author : Lars Bergström; Dag Hjelm; [2023]
   Keywords : ;

   Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE