Learn how Log Softmax works and how to implement it in Python with this beginner-friendly guide. Understand the concept, see practical examples, and apply it to your deep learning projects.

Abstract: This paper proposes a novel object classification system integrating a dual-imaging CMOS Image Sensor (CIS) with a real-time Gumbel-Softmax-based threshold selection module to address ...

Abstract: Anomalous sound detection (ASD) is crucial for the condition monitoring of industrial communication equipment. However, due to the scarcity of anomalous data, existing unsupervised or ...

Former athlete and Emmy-winning sports reporter Lindsay Simpson suffered a traumatic brain injury in 2018 that nearly took her life. At a recent event held by the National Academies of Sciences, ...

Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.

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This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...