• Objective: To train a neural network on a dataset to classify unseen data.
• Trained a neural network on Google Cloud Platform using IRIS dataset - sepal length and width, and petal length and width (4 input vars), for 50 flowers from each of 3 species of iris (150 rows of data)
• The output (class) of 0,1,2 corresponds to one of the three iris species (Iris setosa, Iris versicolor, Iris virginica)
• Classified new unseen data using the trained neural network (NN_classifier.png).