This repo contains files which is be used to train a deep learning classification model on a dataset of Iris flowers. different species of iris flowers consists of differetn amount of petals and sepals which is used to predict the species of this flower.
It attained an accuracy of 96.967% on dev set.
Architecture of this model:
Output layer has a softmax activation, rest have tanh.