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 ...
IEEE

Deep Reinforcement Learning for Delay Minimization in MEC-THz Networks with Finite Blocklength codes

Abstract: Communication at terahertz (THz) frequency bands is a promising solution for achieving extremely high data rates in 6G wireless networks while supporting the emerging Ultra-Reliable ...
IEEE

CLCoSum: Curriculum Learning-Based Code Summarization for Code Language Models

Abstract: The code summarization task aims to automatically generate natural language descriptions for code snippets. Recently, pre-trained code language models (CLMs) have demonstrated outstanding ...