Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

On this basis, a two-dimensional data-driven convolutional neural ... on the classification of time series. For example, A time series classification method based on CNN and recursive graph is ...

However, it remains a challenging problem in the field of remote sensing to develop new technology to extract and fuse the depth features in images more effectively to obtain satisfactory ...

Graph Neural Networks GNNs have become a powerful tool for analyzing graph-structured data ... Key contributions include integrating explainability as a guiding principle and showcasing its ...

Computer vision (CV) is the field of study that helps computers to study using different techniques and methods so that it can capture what exists in an image or a video. There are a large number of ...

At the present scenario, video games portray a crucial role when it comes to AI and ML model development and evaluation. This methodology has been around the corner for a few decades now. The ...

The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time. The journey started with a basic 3D ...