Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma
You can get the list of supported formats with:
ffmpeg -formats
You can get the list of installed codecs with:
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.
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| 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: |
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| license: mit |