Additional Reading
Exercises1) Download the following files from attachments:train-images-idx3-ubyte.gz train-labels-idx1-ubyte.gz mnist.py 2) Add following lines of code in your python script to get mnist database in python from mnist import * images = mnist_read("train-images-idx3-ubyte.gz") classes = mnist_read("train-labels-idx1-ubyte.gz") Write a perceptron classifier to separate “6” and “3”. Divide your data into suitable training and testing sets. e.g; use training set sizes of 100, 1000, 10000 etc. and discuss your results. |
Lectures >