ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Abstract: In the Philippines' banana export industry, the postharvest classification of Cavendish banana is an important factor which affects one of the country's ...

TinyML introduces Machine Learning to the scene by incorporating Artificial Intelligence into small hardware components. You’ll need some knowledge of machine learning and embedded software ...

Abstract: Binary classifiers have typically been the norm for building classification models in the Machine Learning community. However, an alternate to binary classification is one-class ...

This repository is a tutorial for how to use TensorFlow Object Detection API to train an object detection classifier on Windows. The purpose of this tutorial is to explain how to train your own ...

binary_crossentropy is used and sigmoid activation is added in the network's last layer, but is it necessary that add sigmoid in the last layer? As I found in the source code: def ...