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Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
License: MIT License
This project forked from zhuxinqimac/b-cnn
Sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+.
License: MIT License
--------------------------------------------------------------- Author: Xinqi ZHU --------------------------------------------------------------- This directory contains sample code of B-CNN paper (https://arxiv.org/abs/1709.09890) written in Python3+. Please ensure you have installed TensorFlow and Keras. Please make directories metioned in each program before running them. These directories are used to store trained weights and TensorBoard logs. --------------------------------------------------------------- Files: CIFAR_10_keras_medium.py: model Base B in the paper running on CIFAR-10 dataset CIFAR_10_keras_medium_dynamic.py: model B-CNN B in the paper running on CIFAR-10 dataset CIFAR_100_keras_vgg16.py: model Base C in the paper running on CIFAR-100 dataset CIFAR_100_keras_vgg16_hierarchy_dynamic.py: model B-CNN C in the paper running on CIFAR-100 dataset --------------------------------------------------------------- To run: Just type: python CIFAR_10_keras_medium.py etc. ---------------------------------------------------------------
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