Cyclic learning rate TensorFlow implementation.
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Mar 21, 2019 - Python
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cyclic-learning-rate
Here are 7 public repositories matching this topic...
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.
deep-learning ensemble-learning densenet convolutional-neural-networks binary-classification inception-v3 senet multi-scale seresnext cyclic-learning-rate skin-lesion-classification shades-of-gray tensorflow-keras color-constancy efficientnet
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Oct 27, 2020 - Jupyter Notebook
Machine learning and Deep Learning Hackathon Solutions
nlp data-science machine-learning ocr deep-learning hackathon kaggle hackathons hyperparameter-optimization imputation hyperopt mice h2oai boosting cyclic-learning-rate imputation-methods autokeras lr-finder pycaret
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Jul 19, 2021 - Jupyter Notebook
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.
deep-learning mri ensemble-learning convolutional-neural-networks brain 3d-segmentation tensorflow-estimator cyclic-learning-rate 3d-unet deepmedic 3d-fcn
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May 3, 2020 - Python
A python library for supervised learning methods with PyTorch (CNN Training / Transfer Learning / Differential LRs / SGDR / CLR).
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Dec 22, 2019 - Python
This project compares the performance of MATLAB and Python in training a neural network to predict credit card defaults. Using a dataset of 30,000 customers with 24 features, we implemented a single hidden-layer MLP with varying hyperparameters (hidden layer sizes and learning rates).
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Mar 13, 2025 - Python
Comparação entre diferentes políticas de CLR.
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Sep 25, 2018 - Jupyter Notebook
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