5 citations · 9 across the 3 of their papers we have counts for
5 papers
Pairwise Neural Networks (PairNets) with Low Memory for Fast On-Device Applications
Luna M. Zhang
A traditional artificial neural network (ANN) is normally trained slowly by a gradient descent algorithm, such as the backpropagation algorithm, since a large number of hyperparame…
PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
Luna M. Zhang
Traditionally, an artificial neural network (ANN) is trained slowly by a gradient descent algorithm such as the backpropagation algorithm since a large number of hyperparameters of…
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization
Luna M. Zhang
In recent years, there have been many popular Convolutional Neural Networks (CNNs), such as Google's Inception-V4, that have performed very well for various image classification pr…
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification
Luna M. Zhang
Convolutional Neural Networks (CNNs) usually use the same activation function, such as RELU, for all convolutional layers. There are performance limitations of just using RELU. In…
Multi-function Convolutional Neural Networks for Improving Image Classification Performance
Luna M. Zhang
Traditional Convolutional Neural Networks (CNNs) typically use the same activation function (usually ReLU) for all neurons with non-linear mapping operations. For example, the deep…