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learning-rates

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fitushar / Cyclical-Learning-Rates-for-Training-Neural-Networks-With-Unbalanced-Data-Sets

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As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is c…

neural-network clr cnn range hyperparameters learning-rate expense cyclical-learning-rates epochs learning-rates clr-policies skewness-degrees
  • Updated Jan 19, 2019
  • Jupyter Notebook

RimTouny / Single-Object-Tracking-with-Yolov8

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In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

tracker object-detection object-tracking single-object-tracking intersection-over-union mean-average-precision learning-rates yolov8 yolov8n yolov8s botsort bytetracker yolov8m yolov8l
  • Updated Jan 16, 2024
  • Jupyter Notebook

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