Executive Summary Rapid advances in artificial intelligence (AI), particularly in deep learning, have transformed image recognition across sectors such as healthcare, agriculture, transportation, security, and environmental monitoring. Deep learning models—especially convolutional neural networks (CNNs), vision transformers, and hybrid architectures—have achieved remarkable accuracy in tasks such as object detection, medical imaging analysis, facial recognition, and satellite... [Read More] The post A Sample Grant Proposal on “Optimizing Deep Learning Techniques for Enhanced Image Recognition” first appeared on fundsforNGOs - Grants and Resources for Sustainability.