Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

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

How To Use Chatgpt To Backtest Forex Strategies

How To Use Chatgpt To Backtest Forex Strategies. -content>I always recommend that traders backtest their strategies. AI platforms now make this much easier by writing code and generally speeding up ...
Analytics Insight

How to Manage Large Python Datasets Step by Step: A Beginner’s Guide

Handling Large Python Datasets Can Feel Overwhelming, but with the Right Tools and Habits, Can You Really Make Big Data Faster, Simpler, and Less Stressful to Work With? Prior knowledge of the size ...
IEEE

Feature Oriented Programming: A step towards flexible composition of modular programming

Abstract: Feature Oriented Programming is the study of feature modularity, a way of implementing a product lines. Software product lines (aka program families) generate families of programs and not ...
IEEE

ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning

Abstract: Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in ...