Dlib is a powerful library having a wide adoption in image processing community similar to OpenCV. Researchers mostly use its … More
Category: Machine Learning
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 … More
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 … More
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 … More
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 … More
XGBoost vs LightGBM
XGBoost and LightGBM are the most common and most popular gradient boosting frameworks nowadays. There is no absolute better solution … More
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 … More
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 … More
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 … More
Feature Importance in Decision Trees
A decision tree is explainable machine learning algorithm all by itself. Beyond its transparency, feature importance is a common way … More
