readme: Gender Classifier
  
  This is a model that classifies genders with 91% accuracy. Data is taken from "https://huggingface.co/datasets/myvision/gender-classification", that is a labeled pictures dataset which consist of 5000 balanced training examples, 1000 balanced validation examples, and 1000 balanced test examples.
  
  Convolutional Neural Networks are used for training the model.
  
  Training metrics:
  
  -Training loss: 0.08, Training accuracy: 0.97
  
  -Validation loss: 0.18, Validation accuracy: 0.93
  
  -Test loss: 0.21, Test accuracy: 0.91