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 ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

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

Abstract: The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring ...

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 ...