Democratization of Deep Learning Using DARVIZ
Keywords:Deep Learning, Research Paper Mining, DARVIZ
With an abundance of research papers in deep learning, adoption and reproducibility of existing works becomes a challenge. To make a DL developer life easy, we propose a novel system, DARVIZ, to visually design a DL model using a drag-and-drop framework in an platform agnostic manner. The code could be automatically generated in both Caffe and Keras. DARVIZ could import (i) any existing Caffe code, or (ii) a research paper containing a DL design; extract the design, and present it in visual editor.
How to Cite
Sankaran, A., Panwar, N., Khare, S., Mani, S., Sethi, A., Aralikatte, R., & Gantayat, N. (2018). Democratization of Deep Learning Using DARVIZ. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.11376