This article discusses recent developments in neural network architectures, including transformers and graph neural networks, and their applications in AI.
This paper presents an overview of state-of-the-art neural network architectures for computer vision tasks, such as image classification and object detection.
This course covers the design and implementation of neural network architectures for natural language processing tasks, including language modeling and machine translation.
This video lecture introduces graph neural networks, a type of neural network architecture designed for graph-structured data, and their applications in AI.
This paper presents a survey of neural network architectures for reinforcement learning, including deep Q-networks and policy gradient methods.
This model zoo provides a collection of pre-trained neural network architectures for various AI applications, including computer vision and natural language processing.
This article discusses the application of neural network architectures, such as recurrent neural networks and long short-term memory networks, to time series forecasting tasks.
This article presents an overview of neural network architectures designed for explainable AI, including attention mechanisms and saliency maps.