Deep Learning for Gender based classification. The Data set has been taken place by Kaggle. Gender is a social construct. The way males and females are treated differently since birth moulds their behaviour and personal preferences into what society expects for their gender.
This small dataset is designed to provide an idea about whether a person's gender can be predicted with an accuracy significantly above 50% based on their personal preferences. Content
The data was collected and pre-processed in Fall 2015 from university students of 21 nationalities studying various majors in various countries using this form:
With the rise of feminism, the difference between males and females in terms of their personal preferences has decreased in recent years. For instance, historically in many cultures, warm colors such as red and pink were thought of as feminine colors while cool colors such as blue were considered masculine. Today, such ideas are considered outdated.