Text classification has been widely applied to many practical tasks. Inductive models trained from labeled data are the most commonly used technique. The basic assumption underlying an inductive model ...

Too Long; Didn't Read This tutorial walks you through fine-tuning a ResNet-18 model from TensorFlow’s Model Garden for classifying images in the CIFAR-10 dataset. You’ll learn how to set up the ...

Nearly a quarter (22%) of top execs in the UK TV industry went to private school, according to research sparked by Sherwood creator James Graham’s MacTaggart lecture. The figure is triple that of the ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

This is a camera app that continuously classifies the objects in the frames seen by your device's back camera, with the option to use a quantized MobileNet V1, EfficientNet Lite0, EfficientNet Lite1, ...

This is a camera app that continuously classifies the gesture in the frames seen by your device's front camera. These instructions walk you through building and ...

A novel subject classification scheme should often be applied to a preclassified bibliographic database for the research evaluation task. Generally, adopting a new subject classification scheme is ...

Introduction Epidemiologic studies linking dietary patterns with chronic diseases have increased exponentially in recent years. However, most existing dietary patterns do not classify foods based on ...