Zhan jianfeng

Zhan jianfeng
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Zhan jianfeng

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Statistics - Machine Learning (1)
Computer Science - Artificial Intelligence (1)
Computer Science - Learning (1)

Publications Authored By Zhan jianfeng

Traditionally, multi-layer neural networks use dot product between the output vector of previous layer and the incoming weight vector as the input to activation function. The result of dot product is unbounded, thus increases the risk of large variance. Large variance of neuron makes the model sensitive to the change of input distribution, thus results in poor generalization, and aggravates the internal covariate shift which slows down the training. Read More