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

Deeep Neural Network using Tensorflow