no code implementations • 27 Dec 2017 • Qiming Chen, Ren Wu
The Convolution Neural Network (CNN) has demonstrated the unique advantage in audio, image and text learning; recently it has also challenged Recurrent Neural Networks (RNNs) with long short-term memory cells (LSTM) in sequence-to-sequence learning, since the computations involved in CNN are easily parallelizable whereas those involved in RNN are mostly sequential, leading to a performance bottleneck.
no code implementations • 13 Jan 2015 • Ren Wu, Shengen Yan, Yi Shan, Qingqing Dang, Gang Sun
We present a state-of-the-art image recognition system, Deep Image, developed using end-to-end deep learning.