IEEE

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression

Abstract: Structured pruning and quantization are fundamental techniques used to reduce the size of deep neural networks (DNNs), and typically are applied independently. Applying these techniques ...
QNS

LaGuardia college awarded nearly $2 million federal grant for new workforce training programs

LaGuardia Community College, located in Long Island City and part of the City University of New York system, has been awarded ...
IEEE

Convolutional Neural Network With Adaptive Batch-Size Training Technique for High-Dimensional Inverse Modeling of Microwave Filters

Abstract: This letter proposes a convolutional neural network (CNN) modeling technique with an adaptive batch-size training technique for high-dimensional inverse ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...