In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...