The Role of Hyperparameters in YOLO
Understand some of the hyperparameters that are mostly modified in YOLO.
We'll cover the following...
Hyperparameters play a pivotal role in the training and fine-tuning of machine learning models, including object detection systems like YOLO. While fine-tuning adjusts the internal weights of a pretrained model for a specific task, hyperparameters guide this adjustment process to ensure optimal performance.
lr0(initial learning rate): This is the learning rate at the start of the training process. A common value for the initial learning rate is 0.01. ...