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Peter's Algorithm(PA)

Microcosm AI

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Table of Contents

• What Is PA?
• What Is PA for?
• Usage
• Structure
• Limitations
• Authors
• License

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What Is PA?

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What Is PA For?

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Usage

To use our code, you first have to install the ~~~ from the ~~

 e.g.

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Structure

.
├── src                    
│   ├── MNIST                              # Here is the entire MNIST dataset          
│   │   ├── testing
│   │   │   ├── 0                          # Each subfolder represents a class
│   │   │   │   ├── 3.png
│   │   │   │   ├── 10.png
│   │   │   │   ├── 13.png
│   │   │   │   ...
│   │   │   ├── 1
│   │   │   ├── 2
│   │   │   ├── 3
│   │   │   ├── 4
│   │   │   ├── 5
│   │   │   ├── 6
│   │   │   ├── 7
│   │   │   ├── 8
│   │   │   ├── 9
│   │   ├── training
│   │   │   ├── 0
│   │   │   ...
│   │   ├── labels.csv
├── Notebooks
│   │── ANN_Comparison.ipynb          # Comparison ANNs being trained in Tensorflow
│   │── Visualization_Helper.ipynb    # Visualization of our results
│   │── Deprecated_Training.ipynb     # Old deprecated training notebook
├── Pretrained              # Pretrained weights and labels for testing
│   │── labels.csv
│   │── weights.csv
│── .gitignore
│── main.py                 # Main file for executing training/inference the SNN
│── Neuron.py
│── Paper.pdf               # The term paper we submitted
│── Parameters.py           # All parameters used for training/inference
│── README.md
│── requirements.txt
└── SNN.py                  # The file containing all functions for training/infering 

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Limitation

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Authors

Peter Keffer

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License

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