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Hand-Made-Shallow-Artificial-Neural-Network-in-Python

a basic 2-layer Artificial Neural Network utilizing static backpropagation using Numpy in Python.

A minimal NumPy-only feed-forward neural network (1 hidden layer) that learns the function “predict the next number from a pair,” e.g., [1, 2] → 3, [2, 3] → 4. The script demonstrates forward propagation, mean-squared error tracking, and vanilla backpropagation with gradient-based updates

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a basic 2-layer Artificial Neural Network utilizing static backpropagation using Numpy in Python.

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