IEEE

Deep Neural Networks Internal Representation via Neuron Community Exploration

Abstract: Deep neural networks have demonstrated exceptional performance in extracting task-specific representations from datasets, earning widespread recognition and application. However, the ...
Hosted on MSN

Build A Deep Neural Network From Scratch In Python — No Tensorflow!

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
Oak Ridge National Lab

Mathematical and Numerical Understanding of Neural Networks: From Representation to Learning Dynamics and From Shallow to Deep

In this talk, Dr. Hongkai Zhao will present both mathematical and numerical analysis as well as experiments to study a few basic computational issues in using neural networks to approximate functions: ...
Scientific Research Publishing

Zhu, L., Liao, B., Zhang, Q., Wang, X., Liu, W. and Wang, X. (2024) Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...
GitHub

ai-in-pm/CNN-JEPA-Agent

This project provides an interactive demonstration of CNN-JEPA (Convolutional Neural Network Joint-Embedding Predictive Architecture), a PhD-level Artificial Machine Intelligence (AMI) that showcases ...
IEEE

GNNFairViz: Visual Analysis for Graph Neural Network Fairness

Abstract: Recent advancements in Graph Neural Networks (GNNs) show promise for various applications like social networks and financial networks. However, they exhibit fairness issues, particularly in ...