Linearized sigmoidal activation: A novel activation function with tractable non-linear characteristics to boost representation capability
暂无分享,去创建一个
[1] Wenjie Lu,et al. Regional deep learning model for visual tracking , 2016, Neurocomputing.
[2] Xuelong Li,et al. Speed up deep neural network based pedestrian detection by sharing features across multi-scale models , 2016, Neurocomputing.
[3] Qingxiang Wu,et al. Image super-resolution using a dilated convolutional neural network , 2018, Neurocomputing.
[4] Lin Xiao,et al. Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function , 2015, Neurocomputing.
[5] Yoshua Bengio,et al. Challenges in representation learning: A report on three machine learning contests , 2013, Neural Networks.
[6] Yoshua Bengio,et al. Challenges in Representation Learning: A Report on Three Machine Learning Contests , 2013, ICONIP.
[7] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[8] Gianluca Vinti,et al. Convergence for a family of neural network operators in Orlicz spaces , 2017 .
[9] Gianluca Vinti,et al. Pointwise and uniform approximation by multivariate neural network operators of the max-product type , 2016, Neural Networks.
[10] Andrew R. Barron,et al. Universal approximation bounds for superpositions of a sigmoidal function , 1993, IEEE Trans. Inf. Theory.
[11] Fei Gao,et al. Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking , 2017, IEEE Transactions on Cybernetics.
[12] Lin Xiao,et al. A nonlinearly activated neural dynamics and its finite-time solution to time-varying nonlinear equation , 2016, Neurocomputing.
[13] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[14] G. Lewicki,et al. Approximation by Superpositions of a Sigmoidal Function , 2003 .
[15] Ömer Faruk Ertugrul,et al. A novel type of activation function in artificial neural networks: Trained activation function , 2018, Neural Networks.
[16] Hong Peng,et al. A joint residual network with paired ReLUs activation for image super-resolution , 2018, Neurocomputing.
[17] Yimin Zhou,et al. Photograph aesthetical evaluation and classification with deep convolutional neural networks , 2017, Neurocomputing.
[18] Jun Yu,et al. Click Prediction for Web Image Reranking Using Multimodal Sparse Coding , 2014, IEEE Transactions on Image Processing.