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
KL divergence in DeepSeek R1 – full implementation walk-through
Step-by-step implementation of KL Divergence in DeepSeek R1. Learn the math, code, and practical insights behind this key ...
Abstract: Maximum distance separable (MDS) codes that are not monomially equivalent to generalized Reed-Solomon (GRS) codes are called non-GRS MDS codes, which have important applications in ...
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 ...
Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...
Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...
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