Derive the Equations for the Backpropagation for Softmax and Multi-class Classification. In this video, we will see the equations for Backpropagation for Softmax and Multi-class Classification In the ...

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 ...

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...

Understand the Log Softmax function step-by-step with practical Python examples. Perfect for machine learning enthusiasts and beginners wanting to grasp this essential concept! #MachineLearning ...

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.

Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...

PICATINNY ARSENAL, NJ – Project Manager Soldier Lethality (PM SL) announced today the official Type Classification - Standard (TC-STD) of the U.S. Army’s M7 Rifle and M250 Automatic Rifle, signifying ...

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 ...