DSD: Dense-Sparse-Dense Training for Deep Neural Networks

2 code implementations • 15 Jul 2016 • Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally

We propose DSD, a dense-sparse-dense training flow, for regularizing deep neural networks and achieving better optimization performance.

8k Caption Generation +3

Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features

no code implementations • 5 Feb 2016 • Shijian Tang, Song Han

Generating natural language descriptions for images is a challenging task.