ADR Awareness Centre

The emergence of interconnected cyber-physical systems and sensor/actuator networks has given rise to advanced automation applications, where a large amount of sensor data is collected and processed in order to make suitable real-time decisions an

Unlock the world of Geometric Learning and Graph Convolutional Networks (GCNs) in this comprehensive course designed to empower you with cutting-edge knowledge and practical skills.

This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.

Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos.

This resource corresponds to 7th video from the AI Excellence Lecture Series.

Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research.