This repository provides a practical guide on using transfer learning for binary classification tasks using TensorFlow. Transfer learning is a technique that leverages pre-trained models on ...

Methods: This was an image-based retrospective study using multi-task learning for binary classification. A VGG-16 model was trained on 16,543 non-standardized images. Image data was distributed in ...

For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current state-of-the-art ...

There are many machine learning techniques for binary classification. One of the most powerful techniques is to use the LightGBM (lightweight gradient boosting machine) system. LightGBM is a ...