People use neural networks for translating languages, recommending movies, delivering ads, and more, but this here is one of my favorite applications: utter surrealism. Last year I trained a neural network on 4,500 Halloween costumes that you readers helped me collect. This year, I

- Mathematical Foundation - Convolution Operation - Feature Map Computation - CNN Architecture Components - Pooling Operation - Receptive Field - Financial Services Example: Check Fraud Detection - Retail Example: Visual Product Search and Quality Control - Visual Product Search System - Quality Control System - Advanced CNN Techniques - Transfer Learning - Data Augmentation - Performance Optimization - Batch Normalization - Depthwise Separable Convolutions Convolutional Neural Networks # Convolutional Ne

NeuPSL integrates neural networks with symbolic reasoning for joint inference and learning, achieving high accuracy and significant speedup

Home Research Publications People Code/Resources Contact us Home Research Publications People Code/Resources Contact us Brain networks & behavior lab Learn more about who we are the structure and function of biological neural networks Nervous systems are comprised of structurally and functionally connected neural elements. These elements form vast networks that help shape brain function and cognitive processes. In our lab we use methods from network science to study the organization and behavior of biologic

Abstract page for arXiv paper 1809.05561: Brain decoding from functional MRI using long short-term memory recurrent neural networks

Python, machine learning, Z3, neural network, SAT

This article highlights specific features of biological neurons and their dendritic trees, whose adoption may help advance artificial neural networks used in various machine learning applications. Advancements could take the form of increased computational capabilities and/or reduced power consumption. Proposed features include dendritic anatomy, dendritic nonlinearities, and compartmentalized plasticity rules, all of which shape learning and information processing in biological networks. We discuss the com

From handcrafted feature detectors to vision transformers, we've come a long way...

What is a Convolutional Neural Network? A Convolutional Neural Network (CNN) is a specialized type of artificial neural network that is primarily designed for processing and analyzing structured grid-like data, such as images and videos. CNNs have revolutionized the field of computer vision and are widely used for tasks such as image classification, object detection

This explores whether the well-known finding that neural networks store concepts as straight-line directions is a real property of the networks — or an illusion created by the fact that the tools we u