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…
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…
Publishing Python Packages on Pip and PyPI
Library diversity might be the trigger of being popular of python programming language nowadays. This encourages open source culture as…
A Step by Step CHAID Decision Tree Example
CHAID is the oldest decision tree algorithm in the history. It was raised in 1980 by Gordon V. Kass. Then,…
