Statistical Digital Signal Processing and Modeling
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Updated
Apr 18, 2024 - Python
Statistical Digital Signal Processing and Modeling
Kleines CNN zur Klassifizierung des CIFAR-10 Datensatzes.
Polynomial Learning Rate Decay Scheduler for PyTorch
Gradually-Warmup Learning Rate Scheduler for PyTorch
Pytorch cyclic cosine decay learning rate scheduler
PyTorch implementation of CNNs for CIFAR benchmark
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.
Source code for HTD (WACV 2019)
python code, notebooks and Images used for AI502 Midterm Project.
Cyclic learning rate TensorFlow implementation.
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