Mihai Campean andr0idsensei
andr0idsensei
/ unvectorized_nnet.py
Last active
March 15, 2021 06:45
Vectorized neural network implementation for the Coursera ML course by Andrew Ng, based on the Python implementation written by John Wittenauer here http://www.johnwittenauer.net/machine-learning-exercises-in-python-part-5/ The un-vectorized version is also available for comparison.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import time | |
| from sklearn.preprocessing import OneHotEncoder | |
| from scipy.io import loadmat | |
| from scipy.optimize import minimize | |
| def load_data(filename): | |
| """ Loads the MNIST data from the given Matlab file name. """ | |
| try: |