TensorFlow
▌Introduction
(From WIKI)
TensorFlow is an open-source
software library for dataflow programming across a range of tasks. It is a
symbolic math library, and also used for machine learning applications such as
neural networks.
▌Environment
▋Python 3.6.2
▋TensorFlow 1.5.0
▌Install
▋Python
▋TensorFlow
Before install TensorFlow, consider that creating a
virtual environment by Virtualenv
or venv.
$
pip3 install --upgrade tensorflow
|
PS. You can install TensorFlow with GPU support, see
more on official
document.
If you encounters the following issue:
“Could not find a version
that satisfies the requirement tensorflow (from versions: )”
That means you don’t have the right Python
installed, often happens when 32-bit version was installed but not 64-bit.
Check if you installed it successfully or not.
$
pip3 show tensorflow
|
$ pip3 show tensorflow
Name: tensorflow
Version: 1.5.0
Summary: TensorFlow helps the tensors flow
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: opensource@google.com
License: Apache 2.0
Location:
c:\users\ppipp\downloads\github\python.practice\src\tensorflow\venv\lab\lib\site-packages
Requires: absl-py, numpy, six, wheel,
tensorflow-tensorboard, protobuf
▋Create a “Hello, TensorFlow”
▋Hello.py
import tensorflow as tf
hello = tf.constant('Hello,
TensorFlow!')
sess = tf.Session()
print(sess.run(hello).decode("utf-8"))
$ python Hello.py
|
>> Hello, TensorFlow!
▌Reference
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