python-tensorflowHow do I create a Python app using TensorFlow?
Using TensorFlow to create a Python app requires a few steps.
-
Install TensorFlow, either using
pip install tensorfloworconda install tensorflow. -
Create a Python script, such as
my_app.py -
Import TensorFlow into the script, using
import tensorflow as tf -
Create a TensorFlow graph, with operations such as
tf.add()andtf.multiply()
Example
import tensorflow as tf
a = tf.add(3,5)
b = tf.multiply(3,5)
with tf.Session() as sess:
print("a =", sess.run(a))
print("b =", sess.run(b))
Output example
a = 8
b = 15
-
Run the TensorFlow graph within a session, using
tf.Session() -
Execute the graph with
sess.run() -
Close the session with
sess.close()
Helpful links
More of Python Tensorflow
- How can I use Tensorflow 1.x with Python 3.8?
- How can I disable warnings in Python TensorFlow?
- How can I use XGBoost, Python, and Tensorflow together for software development?
- How do I resolve the "no module named 'tensorflow.python.keras.preprocessing'" error?
- How can I use Python and TensorFlow to detect images?
- How do I use Python and TensorFlow to fit a model?
- How do I convert an unrecognized type class 'tensorflow.python.framework.ops.eagertensor' to JSON?
- How can I enable GPU support for TensorFlow in Python?
- How do I disable the GPU in Python Tensorflow?
- How can I install and use TensorFlow on a Windows machine using Python?
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