The aim is to build a simple neural network, which will have a hidden layer. This model is then used to classify planar data.
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Updated
Oct 23, 2020 - Jupyter Notebook
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planar-data-classification
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Neural Networks and Deep Learning coding assignments
deep-neural-networks deep-learning numpy neural-networks logistic-regression planar-data-classification
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Updated
Jun 30, 2021 - Jupyter Notebook
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
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Updated
Mar 25, 2026 - Python
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