A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...

Abstract: This paper presents an application for troubleshooting computer problems using the TensorFlow and deep learning techniques. The functionality of the proposed application contains the problem ...

Experts say the new policy, which ditches software that automatically captured text messages, opens ample room for both willful and unwitting noncompliance with federal records laws. By Minho Kim ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

CIFAR-10 image classification using TensorFlow/Keras with a custom F-Beta metric. Includes CNN architecture, data preprocessing, EarlyStopping, and performance tracking to balance precision and recall ...

Implementation of multiple deep learning models using Keras Functional API, including a CNN on MNIST, a multi-input/multi-output example, and a toy ResNet on CIFAR-10 ...

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 ...