The classification branch is based on traditional image classification methods. Still, it improves the cross-entropy loss to develop a dynamic adaptive loss, enabling the model to learn ...

Image classification is a cornerstone task in computer vision, where the goal is to categorize images into predefined classes. With the rise of deep learning, TensorFlow has become a popular framework ...

A Python ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, ...

This project is aimed at building a multi-class image classification model using TensorFlow. The model is designed to classify images into nine different categories: airplanes, bonsai, chandelier, ...

However, most image note texts are unstructured with heterogeneity and short-paragraph characters, which fail traditional keyword-based techniques. We utilized a deep learning approach to recover ...

Amazon is announcing a new built-in TensorFlow algorithm for image classification in Amazon Sagemaker. The supervised learning algorithm supports transfer learning for many pre-trained models ...