On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks

10 February 2020

Papers citing "On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks"

3 / 3 papers shown

Title
Neural-g: A Deep Learning Framework for Mixing Density Estimation Shijie Wang Saptarshi Chakraborty Qian Qin Ray Bai BDL 35 0 0 10 Jun 2024
A Latent Space Theory for Emergent Abilities in Large Language Models Hui Jiang LRM 25 35 0 19 Apr 2023
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training Prashanthi Ramachandran Shivam Agarwal A. Mondal Aastha Shah Debayan Gupta FedML 11 8 0 28 Jan 2021