Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections

21 Apr 2016Xichuan ZhouShengli LiKai QinKunping LiFang TangShengdong HuShujun LiuZhi Lin

Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data. However, implementing a deep neural network in embedded systems is a challenging task, because a typical deep neural network, such as a Deep Belief Network using 128x128 images as input, could exhaust Giga bytes of memory and result in bandwidth and computing bottleneck... (read more)

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