Abstract: A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that ...

Burmese pythons are the scourge of the Everglades because of their voracious eating habits but that gluttony, often followed by a prolonged fast, may unlock new weight loss therapies for humans, ...

Abstract: The cross-entropy loss function is widely used in model training, but in some scenarios, its sensitivity to label noise and the imbalance of samples have led to training constraints. In this ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

• Machine Learning • In this project we focused on comparing a Bayes optimal classifier with neural network models using different methods, including cross-entropy, exponential, and hinge loss ...

There was an error while loading. Please reload this page. This is only show that how the 'softmax_cross_entropy_with_logits()' function in Tensorflow internally ...

Detecting changes in urban areas have always been an important element of urban planning and resource management. With the widening impacts of human activities on the ground terrain and landscapes, in ...