projects:localnn:start
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===== Locally Connected Neural Networks ===== | ===== Locally Connected Neural Networks ===== | ||
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+ | \\ | ||
+ | \\ | ||
+ | Inspired by the lateral inhibition in biological neuron networks, we | ||
+ | propose a novel neural network architecture, | ||
+ | network (LCNN), which imposes local connections within the neighboring neurons | ||
+ | in the same layer in order to imitate the lateral inhibition. | ||
+ | |||
+ | * Our maxout neuron based LCNN can achieve a 0.79% classfication error rate on the MNIST task without using pretraining and data augmentation. | ||
+ | * Our ReLU based LCNN can achieve a 15.0% word error rate in speech recognition on the Switchboard database. | ||
+ | |||
+ | To our knowledge, both results set the new state of the art performance on these tasks under similar training conditions. | ||
+ | |||
+ | **Reference: | ||
+ | [1] //Shiliang Zhang, Hui Jiang, Li-Rong Dai and Si Wei//, ``Locally Connected Deep Neural Networks,'' |
projects/localnn/start.1423670683.txt.gz · Last modified: 2015/02/11 16:04 by hj