Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
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Updated
Jun 25, 2022 - Jupyter Notebook
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.
One cycle policy learning rate scheduler in PyTorch
OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.
training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
Super-convergence implementation on TensorFlow Slim
Computer Vision: State of the Art model implementation using PyTorch framework.
Cyclical Learning Rate and 1Cycle Policy as Keras callback.
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