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A C implementation of 1D Cellular Automata to explore rule-based evolution and solve the density classification problem. Includes CLI-based simulation and sample inputs/outputs.
From scratch NumPy implementation of a 2-layer neural network trained on the MNIST handwritten digit dataset, with manual forward/backward propagation and gradient descent.