Gradually-Warmup Learning Rate Scheduler for PyTorch
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Oct 10, 2024 - Python
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learning-rate-decay
Here are 13 public repositories matching this topic...
PyTorch implementation of CNNs for CIFAR benchmark
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Feb 20, 2021 - Python
Cyclic learning rate TensorFlow implementation.
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Mar 21, 2019 - Python
Polynomial Learning Rate Decay Scheduler for PyTorch
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Dec 25, 2021 - Python
Pytorch cyclic cosine decay learning rate scheduler
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May 31, 2021 - Jupyter Notebook
Short description for quick search
tensorflow dropout batch-normalization momentum softmax-regression l2-regularization rmsprop adam-optimizer mini-batch-gradient-descent bias-correction initialization gradient-check exponentially-weighted-averages learning-rate-decay
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Jan 31, 2019 - Python
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Apr 11, 2022
Source code for HTD (WACV 2019)
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Sep 3, 2020 - Lua
Statistical Digital Signal Processing and Modeling
statistics algorithms dsp numpy linear-algebra statistical-inference statistical adaptive-filtering learning-rate kalman-filter statistical-models power-spectrum power-spectral-density adaptive-filters numpy-arrays signal-processing-algorithms wiener-filter learning-rate-decay
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Apr 18, 2024 - Python
python code, notebooks and Images used for AI502 Midterm Project.
mnist adam-optimizer cifar100 learning-rate-decay sgd-optimizer batch-size resnet50 mobilenetv2 radam
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May 25, 2020 - Jupyter Notebook
Kleines CNN zur Klassifizierung des CIFAR-10 Datensatzes.
machine-learning cnn convolutional-neural-networks cifar10 data-augmentation cifar100 cifar-10 learning-rate-decay machinelearning-python
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Nov 21, 2023 - Jupyter Notebook
Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.
deep-neural-networks image-classification densenet learning-rate-decay cyclical-learning-rate learning-rate-benchmarking
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Oct 29, 2020 - Jupyter Notebook
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