Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.
Deep Learning with Yacine on MSN
Backpropagation from scratch in Python – step by step neural network tutorial
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Deep Learning with Yacine on MSN
AdamW optimizer from scratch in Python – step-by-step tutorial
Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...
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 ...
Abstract: Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. However, ...
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 ...
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 ...
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