The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
TWCN Tech News

Winhance: Free Windows Optimization, Debloat & Personalization Tool

If you want to remove unnecessary apps, tweak hidden settings, or personalize your system using a single tool, Winhance is a great option. Winhance lets you remove built-in apps, legacy capabilities, ...
Nature

A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification

Lung cancer remains a global health challenge that is unavoidable. Despite the advances in lung cancer classification using deep learning models, the performance remains highly dependent on ...
IEEE

UAV Localization Using Automatically Encoded Satellite Images With Hyperparameter Optimization Methodology and Data Augmentation

Abstract: The use of uncrewed aerial vehicles (UAVs) has grown across various fields, requiring accurate localization for efficiency. Reliance on GPS poses issues like interference and signal loss.
Nature

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
InfoQ

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Scientific Research Publishing

Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization ()

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...
Scientific Research Publishing

Mohammadagha, M. (2025) Hyperparameter Optimization Strategies for Tree-Based Machine Learning Models Prediction: A Comparative Study of Ada-Boost, Decision Trees, and Random ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
IEEE

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
LinkedIn

Hyperparameters Tuning for Graph Convolutional Networks Made Easy

This article guides you through different hyperparameter optimization (HPO) techniques and shows how to break down the search space into manageable parts. 🎯 Introduction 🧠 Graph Convolutional Neural ...
LinkedIn

What are the best Practices When Doing Hyperparameter Tuning?

🎲 Multi-Fidelity Optimization (MFO) : MFO is a group of hyperparameter tuning methods that work by creating a cheap approximation of the whole hyperparameter tuning pipeline so that we can get ...