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πŸ–Ό Adaptive Convolutional Neural Networks

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Project Structure

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β”œβ”€β”€ Archives                    # Old Code goes here 
β”œβ”€β”€ README.md                   # You are here
β”œβ”€β”€ benchmarks                  # Benchmark models
β”‚Β Β  β”œβ”€β”€ vanilla_CNN
β”‚Β Β  β”‚Β Β  └── base_model.py
β”‚Β Β  └── vanilla_ResNet
β”‚Β Β      β”œβ”€β”€ base_resnet.py
β”‚Β Β      └── resnet10.py
β”œβ”€β”€ experimental                # Playground for testing new features
β”œβ”€β”€ models                      # ACNN variants of benchmarks models
β”‚Β Β  β”œβ”€β”€ Acnn_ResNet.py
β”‚Β Β  β”œβ”€β”€ Vanilla_Acnn.py
β”œβ”€β”€ results
β”‚Β Β  β”œβ”€β”€ MNIST                   # Ring generated Stats and logs
β”‚Β Β  β”‚Β Β  └── VanillaACNN
β”‚Β Β  β”‚Β Β      β”œβ”€β”€ Training_1
β”‚Β Β  β”‚Β Β          β”œβ”€β”€ README.md
β”‚Β Β  β”‚Β Β          β”œβ”€β”€ Tensorboard_Summary
β”‚Β Β  β”‚Β Β          β”‚Β Β  └── events.out.tfevents...
β”‚Β Β  β”‚Β Β          β”œβ”€β”€ test.csv
β”‚Β Β  β”‚Β Β          β”œβ”€β”€ test.png
β”‚Β Β  β”‚Β Β          β”œβ”€β”€ train.csv
β”‚Β Β  β”‚Β Β          └── train.png
β”‚Β Β  β”‚Β Β      β”œβ”€β”€ Training_2
β”‚Β Β  β”‚Β Β      β”œβ”€β”€ ...
β”‚Β Β  β”‚Β Β      └── ...
β”‚Β Β  └── main.py                 # ONE RING TO RULE THEM ALL
β”œβ”€β”€ tests                       # Modular tests to check implemented methods
β”‚Β Β  β”œβ”€β”€ connect_net.py
β”‚Β Β  β”œβ”€β”€ group_conv_test1.py
β”‚Β Β  └── group_conv_time_test.py
└── utilities                   # Helper classes and functions
    β”œβ”€β”€ connect_net.py
    β”œβ”€β”€ data.py
    β”œβ”€β”€ train_helpers.py
    └── visuals.py

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