GitHub

transfer-learning-with-cnn

A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, ...
GitHub

FPGA MNIST Neural Network Inference

This project implements a complete FPGA inference pipeline for MNIST handwritten digit classification. The system evolves through five progressively refined hardware implementations — from a ...
Frontiers

Multiclass classification using quantum convolutional neural networks with hybrid quantum ...

Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on ...

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 ...
C&EN

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS

Institute of Electrical and Microengineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland Institute of Materials Science and Engineering, École Polytechnique ...
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 ...