Learning TensorFlow by Tom Hope Yehezkel S. Resheff & Itay Lieder

Author:Tom Hope, Yehezkel S. Resheff & Itay Lieder
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2017-08-16T16:00:00+00:00

model = learn.<some_Estimator>()

Then we fit it using our training data:

model.fit()

We evaluate the model to see how well it does on some given dataset:

model.evaluate()

Finally, we use our fitted model to predict outcomes, usually for new data:

model.predict()

These four fundamental stages are also found in other extensions.

contrib offers many other functionalities and features; in particular, contrib.learn has a very neat way to treat our input data, which will be the focus of the next subsection, where we discuss linear models.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.