This article reviews recent developments in neural network architectures for image classification tasks, including transformers and attention mechanisms.
This course covers the fundamentals of neural network architectures for image classification, including convolutional neural networks and recurrent neural networks.
This article discusses recent developments in deep learning for image classification tasks, including the use of pre-trained models and transfer learning.
This repository provides a collection of neural network architectures for image classification tasks, including code and examples for implementation.
This conference paper discusses recent advances in image classification, including the use of neural network architectures and deep learning techniques.
This article provides an overview of neural network architectures for image classification tasks, including the use of convolutional neural networks and recurrent neural networks.
This course covers the fundamentals of deep learning for image classification tasks, including the use of neural network architectures and convolutional neural networks.
This tutorial provides an overview of neural network architectures for computer vision tasks, including image classification and object detection.