2017
DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning
ICLR 2017poster
In recent years, Deep Learning (DL) has found great success in domains such as multimedia understanding. However, the complex nature of multimedia data makes it difficult to develop DL-based software. The state-of-the-art tools, such as Caffe, TensorFlow, Torch7, and CNTK, while are successful in th…