Tag: Convolutional

Graph Neural Networks (GNNs) represent one of the most captivating and rapidly evolving architectures within the deep learning landscape. As deep learning models designed to process data structured as graphs, GNNs bring remarkable versatility and powerful learning capabilities. Among the var...

Graph Neural Networks (GNNs) represent one of the most captivating and rapidly evolving architectures within the deep learning landscape. As deep learning models designed to process data structured as graphs, GNNs bring remarkable versatility and powerful learning capabilities. Among the var...

This blog post is inspired by the paper titled AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE from google’s research team. The paper proposes using a pure Transformer applied directly to image patches for image classification tasks. The Vision Transformer ...

Artificial intelligence has taken the world by storm. Every week, new models, tools, and applications emerge that promise to push the boundaries of human endeavor. The availability of open-source tools that enable users to train and employ complex machine learning models in a modest number of lines ...