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Hand Written Digit Classification in Machine Learning

Implement a Multilayer Perceptron Neural Network and evaluate its performance in classifying handwritten digits.

  1. Feed Forward Propagation
  2. Back Propagation
  3. Regularisation in Neural Network

Tensor Flow Library: implement a single layer Neural Network and infer that implementing multiple layers can be a very cumbersome coding task. However, additional layers can provide a better modeling of the data set. The analysis of the challenging CelebA data set will show how adding more layers can improve the performance of the Neural Network.

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