IEEE

Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach

Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
IEEE

Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-class Imbalanced Data

Abstract: Active learning can effectively reduce the cost of labeling while enhancing model classification performance. However, prior studies have indicated that imbalanced class distributions ...
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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 ...