DNN

1. 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

2. Deeep Neural Network using Tensorflow