Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
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Updated
Jun 10, 2020 - Python
Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
Content: Structure of CNN, Convolutional layer, Pooling layer, Fully connected layer, Dense layer, output, Image classification, Creating, compiling and training the model on epochs, testing the model on gradio
Network-Intrusion-Detection
We provide a simple code snippet on how to simulate a bigger batch size when it is not directly achievable by your GPU.
Cómo cambia la exactitud de un modelo, al usar diferentes capas de convolución y modificar el número de épocas y baches
Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.
python code, notebooks and Images used for AI502 Midterm Project.
A Batch Size Scheduler library compatible with PyTorch DataLoaders.
Keras helper class for adaptative batch size annealing.
Experiments on adaptive policy gradient
Short introduction to BatchSize (hibernate annotation).
Awesome GNN Learning For beginners
This project is an app that lets the user control the mouse pointer of their computer using their eye gaze. The app uses multiple pre-trained computer vision models from the openvino model zoo in a structured pipeline to detect the user's eye gaze and move the mouse pointer in the right distance and direction.
🎯 Accumulated Gradients for TensorFlow 2
Evaluation of the CNN design choices performance on ImageNet-2012.
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