Essays about: "Pruning."

Showing result 1 - 5 of 99 essays containing the word Pruning..

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  2. 2. 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. 3. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Egemen Yiğit Kömürcü; [2023]
    Keywords : ;

    Abstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE

  4. 4. The impact of pruning Convolutional Neural Networks when classifying skin cancer

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

    Author : Gustaf Larsson; Marcus Odin; [2023]
    Keywords : ;

    Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE

  5. 5. Optimization Areas of the Minimax Algorithm : A study on a look-ahead AI as applied to the Fox game

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

    Author : Ludwig Franklin; Hugo Malmberg; [2023]
    Keywords : ;

    Abstract : Artificial intelligence has become more prevalent during the last few years, revolutionizing the field of computer game-playing. By incorporating artificial intelligence as a computerized opponent, games can become more engaging and challenging for human players. READ MORE