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A Python implementation of various neural network architectures built from scratch using Numpy

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🧠 Neural Network Implementations from Scratch

⚠️ Note: This project is in its early development stages.

A Python implementation of various neural network architectures built from scratch using Numpy. 🐍

πŸ“ Project Structure

Neural_Netwrok/
β”œβ”€β”€ Activition_functions.py         # Common activation functions
β”œβ”€β”€ Artificial_Neural_Network.py    # ANN implementation
β”œβ”€β”€ Convolution_Neural_Network.py   # CNN implementation
└── Recurrunt_Neural_Network.py     # RNN implementation
Ann_main.py                         # ANN example usage
Rnn_main.py                         # RNN example usage

🚧 Project Status

This project is currently in its initial development phase:

  • Basic implementations are working but need optimization
  • Documentation is being improved
  • More examples and test cases will be added
  • Performance improvements are planned
  • Feedback and contributions are welcome!

License

This project is available for educational purposes. πŸŽ“

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A Python implementation of various neural network architectures built from scratch using Numpy

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