Case study 3 – using tensorflow
I would like to finish off our time together by looking at a somewhat more modern module that was only recently introduced by Google's machine learning division called tensorflow.
Tensorflow is an open-source machine learning module that is used primarily for its simplified deep learning and neural network abilities. I would like to take some time to introduce the module and solve a few quick problems using tensorflow. The syntax for tensorflow (like PyBrain in Chapter 12, Beyond the Essentials) is a bit different than our normal scikit-learn syntax so I will be going over it step by step. Let's start with some imports:
from sklearn import datasets, metrics import tensorflow as tf import numpy as np from sklearn.cross_validation ...
Get Principles of Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
