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1. p001-single-neuron-scratch p001-single-neuron-scratch Public

   Binary classification by single vanilla neuron (logistic regression inspired). Neuron is implemented using python without frameworks.

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2. p002-single-neuron-scratch-optimization p002-single-neuron-scratch-optimization Public

   Optimization of single vanilla neuron(logistic regression inspired); and run times are provided for binary classification task. Numpy vectorization and numba are used to speed up code.

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3. p003-neuron-scratch-pytorch-tensorflow p003-neuron-scratch-pytorch-tensorflow Public

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4. p004-neural-network-1-hidden-layer p004-neural-network-1-hidden-layer Public

   Classification is done by 1 hidden layer neural network; implemented in vanilla python, tensorflow and pytorch. In tensorflow/pytorch, different APIs are explored to implement same algorithm.

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5. p005-neural-network-l-layers p005-neural-network-l-layers Public

   Binary classification is done by "L" layer neural network; implemented in vanilla python, tensorflow and pytorch. In tensorflow/pytorch, different APIs are explored to implement same algorithm.

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6. p006-neural-network-layers-comparison p006-neural-network-layers-comparison Public

   Using synthetic data for binary classification, explore neural networks layers effect and limitation. Implemented in tensorflow and pytorch.

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