Problem Set 13

Problem Set 13

This is to be completed by February 1st, 2018.

Exercises

  1. Datacamp

* Complete the lesson:
a. Python Data Science Toolbox (Part II)

  1. For a logistic regressor (multiclass ending in softmax) write down the update rules for gradient descent.

  2. For a two layer perceptron ending in softmax with intermediate relu non-linearity write down the update rules for gradient descent.

Python Lab

  1. Build a two layer perceptron (choose your non-linearity) in numpy for a multi-class classification problem and test it on MNIST.
  2. Build a MLP in Keras and test it on MNIST.

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