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Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

A Multiclass Graph Embedding Matrix Classification Method for Roller Bearing State Identification Under Limited Sample

Abstract: Support matrix machine (SMM) based methods have revolutionized the field of state identification by effectively mining correlations between fault features. However, some flaws limit its ...
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, ...
Frontiers

Deep learning-based method for grading histopathological liver fibrosis in rodent models of metabolic dysfunction-associated steatohepatitis

Introduction: Metabolic dysfunction-associated steatohepatitis (MASH) is a significant liver disease that can lead to cirrhosis and liver cancer. Accurate assessment of liver fibrosis is crucial for ...
GitHub

sdk-jobs-automl-standalone-jobs-automl-image-classification-multiclass-task-fridge-items-automl-image-classification-multiclass-task-fridge-items

sdk-jobs-automl-standalone-jobs-automl-image-classification-multiclass-task-fridge-items-automl-image-classification-multiclass-task-fridge-items #4052 Summary ...
GitHub

sdk-jobs-automl-standalone-jobs-automl-nlp-text-classification-multiclass-task-sentiment-analysis-automl-nlp-multiclass-sentiment-mlflow

Official community-driven Azure Machine Learning examples, tested with GitHub Actions. - ...
C&EN

FormulationBCS: A Machine Learning Platform Based on Diverse Molecular Representations for Biopharmaceutical Classification System (BCS) Class Prediction

Institute of Chinese Medical Sciences (ICMS), State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macau 999078, China ...
IEEE

Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks

Abstract: In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM) of electroencephalogram (EEG) signals plays a critical role in accurate classification.