An agent is more than simply an LLM running in a loop; it acts as a reasoning component that fits into a larger, well-managed execution system. The large language model (LLM) never interacts directly ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach Model Garden contains a collection of state-of-the-art vision models, ...

The tuning of a pre-trained model is a crucial application for transfer learning in machine learning. It is a process of learning to re-adjust initially pre-trained models, with some big datasets, to ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

Purpose: We aim to present effective and computer aided diagnostics in the field of ophthalmology and improve eye health. This study aims to create an automated deep learning based system for ...

Abstract: Artificial Intelligence (AI) combined with efficient image processing tools help doctors better predict disease progression. Alzheimer's Disease (AD) early diagnosis is one of the most ...

Detect vehicle license plates in videos and images using the tensorflow/object_detection API. Train object detection models for license plate detection using TFOD API, with either a single detection ...