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Deep Neural Network using Python and Numpy
- classification, logistic regression
- sigmoid, softmax, tanh, relu activation function
- forward and backward propagation, cost function
- gradient descent optimization algorithm
- regularization, including L2 regularization and dropout
- optimization, including mini-batch and adam mode
- gradient checking
- one-hot encoding
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Deeep Neural Network using Tensorflow