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andr0idsensei /
Last active Nov 13, 2018
Vectorized neural network implementation for the Coursera ML course by Andrew Ng, based on the Python implementation written by John Wittenauer here The un-vectorized version is also available for comparison.
import numpy as np
import time
from sklearn.preprocessing import OneHotEncoder
from import loadmat
from scipy.optimize import minimize
def load_data(filename):
""" Loads the MNIST data from the given Matlab file name. """
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