latest

First release. Includes:

• fully connected networks up to k layer for multi-class classification and regression
• recurrent neural networks for text generation
• multiple weight initializers such as Xavier and Normal
• weight regularizers such as L2 regularizer
• optimizers such as AdaGrad and SGD
• loss smoother and gradient clippers
• examples in the form of jupyter notebooks on how to build models