sigmoid neural network library
Project description
SigmoidNN
Overview
This Library implements a simple yet powerful neural network using scary mathematical operations, such as the sigmoid activation function, cross-entropy loss, and matrix operations😖. The network has been tested with the MNIST dataset of handwritten digits and achieved an 97.99% accuracy with the chosen parameters.
You can customize the layers, activation functions, and data to train and test the network for your specific needs.
Documentation
from SigmoidNN import Network,
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