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Homework Neural Networks
Q1 Iris Dataset Classification via Neural Networks
Classify the IRIS data set via Artificial Neural Networks ANN
https://www.kaggle.com/azzion/iris-data-set-classification-using-neural-network/data
a.Compute the Confusion Matrix and Accuracy for the ANN
b.Compare the performance with a Naïve Bayes Classifier
Q2 Go through the Google Machine Learning Crash Course (free)
https://developers.google.com/machine-learning/crash-course
And write a paper describing the following exercises:
a.Explain the stochastic gradient descent algorithm for reducing loss
https://developers.google.com/machine-learning/crash-course/reducing-loss/gradient-descent
b.With the playground exercise explain the relationship between learning rate and convergence
https://developers.google.com/machine-learning/crash-course/reducing-loss/playground-exercise
c.Explain the anatomy of a neural network in your paper
https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/anatomy
d.Review playground exercises on neural networks and explain in your paper
https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/playground-exercises
Review the course in your paper and explain how it helps in understanding what neural networks are