OsirisLambert / CSCI-561-Assignment3-Handwritten-Digit-Recognition

2-layer perceptron neural network to classify hand-written digits using MNIST dataset

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Handwritten Digit Recognition

Implementing a multi-layer perceptron (MLP) neural network and use it to classify hand-written digits shown in Figure 1. You can use numerical libraries such as Numpy/Scipy, but machine learning libraries are NOT allowed. You need to implement feedforward/backpropagation as well as training process by yourselves.

For more details, please check out HW3-description.pdf.

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2-layer perceptron neural network to classify hand-written digits using MNIST dataset

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