Smart Learning Market worth $178.62 billion by 2030 | MarketsandMarkets™

According to MarketsandMarkets™, the Smart Learning Market is projected to grow from USD 80.69 billion in 2025 and to reach ...
IEEE

An Efficient Synchronous Training Integrated Model for Driving Decision-Making Based on ...

Abstract: Deep reinforcement learning (DRL) is a promising way to develop autonomous driving decision-making models. However, poor driving decisions and low sample efficiency for multiple DRL coupled ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
来自MSN

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...
IEEE

AdaptFL: Adaptive Client Task Allocation-Based Synchronous Federated Learning

Abstract: Federated learning is a privacy protection method for machine learning, enabling the maintenance of data localization and privacy during training. However, the system heterogeneity leads to ...