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Sefik Ilkin Serengil

Code wins arguments

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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%…

face recognition, face verification

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…

activation function, deep learning

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…

attractive, beauty prediction, transfer learning, vgg-face

A Step by Step Perceptron Example

Perception is everything. Communication faculty students learn this in their early lessons. Machine learning practitioners learn this in their freshman…

perceptron, single layer perceptron

Beauty Score Prediction with Deep Learning

Remember the famous quote in the Snow White. Evil Queen asks to the mirror on wall that who is the…

attractive, beauty prediction, transfer learning, vgg-face

A Gentle Introduction to Feature Importance in Machine Learning

Machine learning interpretability and explainable AI are hottest topics in data world nowadays. Even though linear regression is ignored by…

feature importance, feature selection, from scratch, linear regression, python, scikit learn

Race and Ethnicity Prediction in Keras

We’ve mentioned how to predict the identity, emotion, age and gender with deep learning in previous posts. Ethnicity and race…

ethnicity, race, vgg-face

Race and Ethnicity Prediction In The Perspective of AI Ethics

We can predict the demographic and cultural information of people including identity, age and gender, ethnicity based on their photos already.…

ai ethics, deep learning, diversity, gender, race

Why You Should Build XGBoost Models Within H2O

XGBoost triggered the rise of the tree based models in the machine learning world. It earns reputation with its robust…

decision tree, gbm, gradient boosted, gradient boosting, h2o, xgboost

A Gentle Introduction to XGBoost for Applied Machine Learning

XGBoost is firstly introduced in 2016 by Washington University Professors Tianqi Chen and Carlos Guestrin. Even though XGBoost appears in an…

gbm, kaggle, xgboost

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