Sökning: "Pytorch"

Visar resultat 1 - 5 av 32 uppsatser innehållade ordet Pytorch.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :William Pettersson; [2024]
    Nyckelord :Transformer; Decoder; Decoder-only; AI; Artificial intelligence; Generating; generative model; Chess;

    Sammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER

  4. 3. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

    Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Marko Plavetic; [2023-06-26]
    Nyckelord :benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

    Sammanfattning : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. LÄS MER

  5. 4. Machine Learning model applied to Reactor Dynamics

    Master-uppsats, KTH/Fysik

    Författare :Dionysios Dimitrios Nikitopoulos; [2023]
    Nyckelord :Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Sammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER

  7. 5. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Egemen Yiğit Kömürcü; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER