Neural Network from Scratch (NumPy)

A simple implementation of a feedforward neural network using Python and NumPy.
This project demonstrates the network learning the XOR problem from scratch, including forward pass, backpropagation, and gradient descent.

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🧠 Network Architecture

• Input Layer: 2 neurons
• Hidden Layer: 3 neurons, Sigmoid activation
• Output Layer: 1 neuron, Sigmoid activation
• Loss Function: Mean Squared Error
• Optimization: Gradient Descent

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🚀 Usage

python neural_network.py