InsightFace entered to the facial recognition world with two spectacular modules: its face recognition model ArcFace, and its face detection…
Why Logistic Regression is Linear
A common mistake is to classify logistic regression algorithm as a non-linear machine learning model. In this post, we are…
Deep Face Recognition with Neo4j
Graph databases come with the power of discovering relations hard to find. Here, Neo4j is a cool graph database. As…
Tech Stack Recommendations for Face Recognition
Determining the architecture is a significant stage for production driven purposes. Herein, a facial recognition pipeline comes with wide product…
Deep Face Recognition with Redis
Key value databases come with a high speed and performance where we mostly cannot reach in relational databases. Herein similar…
Deep Face Recognition with Relational Databases and SQL
A face recognition task requires to store multidimensional array and make calculations over it. This task is not mostly matching…
Deep Face Recognition with Hadoop and Spark
Large scale face recognition is always a challenging task. Nowadays, hadoop based approaches become a de-facto standard for solutions. This…
Deep Face Recognition with Cassandra
We mostly need the power of map reduce of no sql databases when the data becomes really big and massive.…
Deep Face Recognition with mongoDB
Face recognition is mainly based on similarity search on facial embeddings. Researches mostly focus on storing vector representations on memory.…
Feature Importance in Logistic Regression for Machine Learning Interpretability
Feature importance is a common way to make interpretable machine learning models and also explain existing models. That enables to…
