Difference between VGG16 and VGG19 transfer learning- VGG16 and VGG19 are two popular convolutional neural network (CNN) architectures used for image classification tasks. Both models were developed ...

This article will take you from an empty Python file to creating, compiling, and training a neural network using TensorFlow and Keras — without drowning you in heavy math. Building a Model: How to ...

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...

Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have ...

Prompt personal identification is required during disasters that can result in many casualties. To rapidly estimate sex based on skull structure, this study applied deep learning using two-dimensional ...

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 is the offical implementation of our CVPR 2022 work 'Source-Free Object Detection by Learning to Overlook Domain Style'. We aim to solve the source-free object detetion problem from a novel ...

We endeavor to develop a novel deep learning architecture tailored specifically for the analysis and classification of tongue features, including color, shape, and coating. Unlike conventional methods ...

Identification of leaf diseases plays an important role in the growing process of different types of plants. Current studies focusing on the detection and categorization of leaf diseases have achieved ...

Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia ...