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,…
Face Alignment for Face Recognition in Python within OpenCV
Face alignment is an early stage of the modern face recognition pipeline. Google declared that face alignment increases the accuracy…
Face Recognition with Facebook DeepFace in Keras
Facebook researchers announced its face recognition model DeepFace. It shows a very close performance to human level. Humans have 97.53%…
Dance Moves of Deep Learning Activation Functions
Neither convolution nor recurrent layers of deep learning enable non-linearity. Activation functions enable neural networks to become non-linear. An activation…
Attractiveness Score Prediction with Deep Learning
We’ve recently mentioned beauty score prediction. However, that study is mainly based on the study of South China University of…
