LinkedIn

Build a basic CNN Computer Vision model with Pytorch.

Computer vision is the art of teaching a computer to see. For example, it could involve building a model to classify whether a photo is of a cat or a dog (binary classification). Or whether a photo is ...
Frontiers

SpyKing—Privacy-preserving framework for Spiking Neural Networks

Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become integral to many aspects of modern life. However, the vast amount of data they process is not ...
C&EN

The Experimentalist’s Guide to Machine Learning for Small Molecule Design

Department of Bioengineering, University of Illinois, Urbana−Champaign, Illinois 61801, United States Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana−Champaign, ...
Nature

Translation-invariant optical neural network for image classification

The classification performance of all-optical Convolutional Neural Networks (CNNs) is greatly influenced by components’ misalignment and translation of input images in the practical applications. In ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
GitHub

Meta-learning ensemble framework for image classification with convolutional neural networks

This project creates an ensemble of CNN models for the MINST, Fashion-MNIST, and CIFAR10 dataset. The predictions from the ensemble are evaluated by a CNN super-learner and a weight matrix optimized ...
Nature

Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection

With over 3500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by ...
Frontiers

Memristor Based Binary Convolutional Neural Network Architecture With Configurable Neurons

The memristor-based convolutional neural network (CNN) gives full play to the advantages of memristive devices, such as low power consumption, high integration density, and strong network recognition ...