PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Deep Learning 123

Deep Learning Deep Learning Algorithm Support Vector Machines 123

Heartbeat

JUNE 14, 2023

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. Support vector machine classifiers as applied to AVIRIS data.” Measuring Calibration in Deep Learning. We’re committed to supporting and inspiring developers and engineers from all walks of life.

Deep Learning 59

Deep Learning Deep Learning Support Vector Machines Machine Learning 59

Mlearning.ai

FEBRUARY 15, 2023

Deep learning models with multilayer processing architecture are now outperforming shallow or standard classification models in terms of performance [5]. Deep ensemble learning models utilise the benefits of both deep learning and ensemble learning to produce a model with improved generalisation performance.

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

DrivenData Labs

MAY 1, 2025

Some participants combined a transformer neural network with a tree-based model or support vector machine (SVM). Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147