With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

Class Disrupted guest Irina Jurenka on large language models in education: ‘The stakes are so much higher in learning than in other use cases.’ ...

Abstract: This article presents an in-depth exploration of machine learning (ML) and deep learning (DL) for the optimization and design of dual-band antennas in Internet of Things (IoT) applications.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...

Abstract: Extensive growth in the number of Internet Of Things (IoT) devices has significantly increased susceptibility to various cyber-attacks and hence emphasized the need for robust intrusion ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...