Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Abstract: In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sensing ...
Integrating Unmanned Aerial Vehicles (UAVs) into military operations has become increasingly significant in recent years. In practical missions, UAVs are usually operated in unpredictable conditions, ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
Deep Learning with Yacine on MSN
Adadelta optimizer explained – Python tutorial for beginners & pros
Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN
Nadam optimizer explained: Python tutorial for beginners & pros
Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
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