python code, notebooks and Images used for AI502 Midterm Project.
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Updated
May 25, 2020 - Jupyter Notebook
python code, notebooks and Images used for AI502 Midterm Project.
Kleines CNN zur Klassifizierung des CIFAR-10 Datensatzes.
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.
Statistical Digital Signal Processing and Modeling
Source code for HTD (WACV 2019)
Short description for quick search
Pytorch cyclic cosine decay learning rate scheduler
Polynomial Learning Rate Decay Scheduler for PyTorch
Cyclic learning rate TensorFlow implementation.
PyTorch implementation of CNNs for CIFAR benchmark
Gradually-Warmup Learning Rate Scheduler for PyTorch
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