Shypd.aiThe largest open index of AI toolsNumPyCNN is an Open Source Coding & Development tool that provides a Python implementation for convolutional neural networks (CNNs) from scratch using NumPy. It is designed for understanding the inner workings of CNNs and can be extended with genetic algorithms for training.
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NumPyCNN offers a Python implementation of convolutional neural networks (CNNs) built entirely from scratch using NumPy. This project is primarily an educational resource, allowing users to delve into the fundamental mechanics of CNNs. It includes a single module, `cnn.py`, which encapsulates all necessary classes and functions for constructing a CNN. While it implements the forward pass of CNN training, it notably uses a learning rate for weight adjustments rather than a full learning algorithm. The project supports classification problems with one class per sample and is designed to be extended for training CNNs using the PyGAD genetic algorithm library.
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