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ISSN 2575-6206
Technical Note
Vol. 8, Issue 1, 2024February 16, 2024 CDT

Optimization of Convolutional Neural Network hyperparameters using Genetic Algorithms

Nirmit Shah,
Convolutional Neural NetworksGenetic AlgorithmsKernelsHyperparametersInference timeCNNComputational costDeep learningImage classificationNetwork architecture
Copyright Logoccby-nc-sa-4.0 • https://doi.org/10.64336/001c.94086

Articles in Vol. 8, Issue 1, 2024

Vol. 8, Issue 1, 2024
  • Inhibitors of Mitogen-Activated Protein Kinase signaling transduction pathway are lethal to regenerating planarians
    Emily ScarrowPercival LiuDaniel FarberKeevan KearnsEve KolkerWilliam Wallace
  • The readability of online leukemia materials
    Elleanna Choe
  • Piezoelectric energy harvester structural optimization for improving output characteristics in road environment conditions
    Zhaparov Zhansar
  • Deep learning for lung cancer detection and classification in CT scans
    Shreya Pawar
  • A decision tree classifier algorithm for the automated analysis of electrocardiogram signals to identify heart arrythmias.
    Mila Zavadjil
  • YAP1 attenuation and its effect on cancer proliferation
    Zaina Khan
  • A comparative analysis of generative models for terrain generation in open-world video games
    Ishaan Srivastava
  • Efficient court justice using auto-judgement with Artificial Intelligence
    Phoebe LiuJosephine LiuJoseph LiuEmily X Ding
  • Optimization of Convolutional Neural Network hyperparameters using Genetic Algorithms
    Nirmit Shah
  • Machine Learning models and feature relevance for student grade prediction
    Izhan Ali
Journal of High School Science
Shah, Nirmit. 2024. “Optimization of Convolutional Neural Network Hyperparameters Using Genetic Algorithms.” Journal of High School Science 8 (1): 166–79. https://doi.org/10.64336/001c.94086.
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