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

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 ...
IEEE

Improvement of Basic Behaviors for Bipedal Robot Based on PPO Algorithm

Abstract: Deep Reinforcement Learning (DRL) makes a big improvement for robotic control. However, training stable and efficient bipedal gaits like walking and running still remains challenging.
IEEE

Assessing Basic Emotion via Machine Learning: Comparative Analysis of Number of Basic Emotions and Algorithms

Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...
Ahmedabad Mirror

AI in Stock Trading: How Smart Algorithms Help You Read the Market

1. Sentiment Trackers: AI tracks price direction, momentum shifts, and volume flow to show whether a stock is gaining ...
GitHub

Introduction to Algorithms, Fourth Edition — solutions to exercises and problems

The goal of this project is to provide solutions to all exercises and problems from Introduction to Algorithms, Fourth Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford ...