This repository provides an overview of various deep learning algorithms for image classification, focusing on their structures, use cases, and implementation in Python using TensorFlow/Keras. The ...

We find that all of the algorithms can successfully optimize the training loss function but they perform differently on unseen data points. We conduct experiments to confirm that Adam and other ...

Deep Learning Based Image Classification Algorithm Abstract: We propose a new model which called MFAAM, specifically designed for image classification. By incorporating multi-scale feature fusion and ...

Citation: He X, Ren P, Lu L, Tang X, Wang J, Yang Z and Han W (2022) Development of a deep learning algorithm for myopic maculopathy classification based on OCT images using transfer learning. Front.

This paper presents an image data classification algorithm based on deep learning. By integrating a Convolutional Block Attention Module (CBAM) into the ResNet-50 backbone, we form an enhanced ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

With deep learning algorithms, standard CT technology produces spectral images. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2020 / 10 / 201019133700.htm ...