OpenCV becomes a de facto standard for image processing studies. The library offers some legacy techniques for face recognition as…
Face Recognition with Dlib in Python
Dlib is a powerful library having a wide adoption in image processing community similar to OpenCV. Researchers mostly use its…
Face Recognition with DeepID in Keras
Face recognition researches are emerged from the tech giants such as Facebook and Google to the top universities in the…
Mastering Face Recognition with Ensemble Learning
There are lots of face recognition models in the field. Some are designed by the top universities in the world…
Large Scale Face Recognition for Deep Learning
Face recognition technology is mainly based on face verification. All scenario depends on feeding two face photos to a convolutional neural…
Fine Tuning The Threshold in Face Recognition
Face recognition models are regular convolutional neural networks. These models are responsible to represent face images as vectors. We’ll find…
XGBoost vs LightGBM
XGBoost and LightGBM are the most common and most popular gradient boosting frameworks nowadays. There is no absolute better solution…
Parametric and Non-Parametric Models in Machine Learning
Machine learning algorithms are classified as two distinct groups: parametric and non-parametric. Herein, parametricness is related to pair of model…
A Gentle Introduction to Face Recognition in Deep Learning
Modern face recognition pipelines consist of 4 common stages. These are detection, alignment, representation and verification. These might be confusing…
Flask Experiments for a Deep Learning Project
Flask is a pretty web framework to publish python projects as an api. Recently, I’ve published one of my project…
