python-tensorflowHow can I determine the best Python version to use for TensorFlow?
The best Python version to use for TensorFlow depends on the version of TensorFlow you are using. Generally speaking, Python 3.5 or higher is recommended for use with the latest version of TensorFlow.
For example, if you are using TensorFlow 2.0, you should use Python 3.5 or higher.
import tensorflow as tf
print(tf.__version__)
2.0.0
To check the version of Python you are using, you can use the following code snippet:
import sys
print(sys.version)
3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)]
If you are using an earlier version of TensorFlow, you may need to use a different version of Python. For example, TensorFlow 1.14 requires Python 3.4 or higher.
The following list provides more information about the compatibility of different versions of Python and TensorFlow:
More of Python Tensorflow
- How can I use Python and TensorFlow to handle illegal hardware instructions in Zsh?
- How do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?
- How can I use YOLOv3 with Python and TensorFlow?
- ¿Cómo implementar reconocimiento facial con TensorFlow y Python?
- How do I install TensorFlow using pip and PyPI?
- How can I use Python and TensorFlow to implement YOLO object detection?
- How can I use Python and TensorFlow to implement YOLOv4?
- How can I use XGBoost, Python, and Tensorflow together for software development?
- How can I install TensorFlow offline using Python?
- How do I update my Python TensorFlow library?
See more codes...