Update features list

Author: milancurcic

README.md

@@ -15,8 +15,8 @@ Read the paper [here](https://arxiv.org/abs/1902.06714).
 
 ## Features
 
-* Training and inference of dense (fully connected) and convolutional neural
-  networks
+* Training and inference of dense (fully connected), convolutional (1-d and 2-d),
+  and transformer neural networks
 * Stochastic gradient descent optimizers: Classic, momentum, Nesterov momentum,
   RMSProp, Adagrad, Adam, AdamW
 * More than a dozen activation functions and their derivatives