Cyclic learning rate TensorFlow implementation.
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Updated
Mar 21, 2019 - Python
Cyclic learning rate TensorFlow implementation.
Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Machine learning and Deep Learning Hackathon Solutions
Fully supervised, multi-class 3D brain segmentation in T1 MRI using an ensemble of diverse CNN architectures (3D FCN, 3D U-Net) with multi-scale input.
A python library for supervised learning methods with PyTorch (CNN Training / Transfer Learning / Differential LRs / SGDR / CLR).
Comparação entre diferentes políticas de CLR.
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