CNET

Ditch Your AI Loyalty and Pick an AI Image or Video Model Based on Its 'Personality'

Choosing the right AI has become part of the creative process, like picking the right camera lens or paintbrush.
IEEE

Soil Classification Using Deep Learning Techniques

Abstract: The objective of this project is to classify the four types of soil images using deep learning models that is the Convolutional Neural Networks (CNN) and the Artificial Neural Networks (ANN) ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Virginia 2025 ...
CNN

Your plumber has a new favorite tool: ChatGPT

The roughly 20 plumbers of Oak Creek Plumbing & Remodeling in the Milwaukee, Wisconsin area don’t just bring toolkits with wrenches, pliers and Teflon tape to customers’ homes these days. They also ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
GitHub

agriculture-ai

PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model ...
Microsoft

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive ...
Frontiers

Deep learning-assisted diagnosis of liver tumors using non-contrast magnetic resonance imaging: a multicenter study

Objectives: Non-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the ...
Frontiers

Using deep learning to screen OCTA images for hypertension to reduce the risk of serious complications

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...
GitHub

paramvarsha12/Bear-Image-Classifier

classify.py is the main python file that trains the model to recognise different types of bears by learning from images We use a neural network (CNN) here to look at 50-100 images of each type of bear ...