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single-hidden-layer

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start-again-006 / Planar_Data_Classification_with_one_hidden_layer

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A two-layer neural network is developed from scratch using NumPy to perform classification on 2D planar datasets. It highlights how shallow architectures can capture non-linear decision boundaries across patterns such as spirals, moons, circles, and blobs.

python machine-learning deep-learning neural-network gradient-descent backpropagation binary-classification single-hidden-layer planar-data-classification
  • Updated Mar 25, 2026
  • Python

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