sigmod激活函数参考文献

关于 Sigmod 激活函数的参考文献，以下是一些常用的引用：

1. Glorot, X., & Bengio, Y. (2010). Understanding the difficulty of training deep feedforward neural networks. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 249-256.
2. Srivastava, N., Hinton, G. E., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. (2014). Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15(1), 1929-1958.
3. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition, 770-778.
4. Maas, A. L., Hannun, A. Y., & Ng, A. Y. (2013). Rectifier nonlinearities improve neural network acoustic models. Proceedings of the 30th international conference on machine learning, 30(1), 3.
5. Xavier, G., & Bengio, Y. (2011). From neural networks to deep learning: Zeroing in on the human brain. Science, 313(5786), 1096-1101.

这些引用涵盖了关于 Sigmod 激活函数在神经网络中的应用，以及它对训练和性能的影响。您可以根据您的具体需求选择适合的参考文献进行深入研究。