python-tensorflowHow do I use the set_random_seed function in Python TensorFlow?
The set_random_seed
function in Python TensorFlow is used to set the random seed of the TensorFlow random number generator. This ensures that the results of operations that use random numbers are reproducible across multiple runs.
Example code
import tensorflow as tf
tf.set_random_seed(42)
The code above sets the random seed to 42.
The code has the following parts:
import tensorflow as tf
imports the TensorFlow library.tf.set_random_seed(42)
sets the random seed of the TensorFlow random number generator to 42.
No output is generated by this code.
Helpful links
More of Python Tensorflow
- How can I use Python and TensorFlow to handle illegal hardware instructions in Zsh?
- ¿Cómo implementar reconocimiento facial con TensorFlow y Python?
- How do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?
- How do I use Python TensorFlow 1.x?
- How can I release GPU memory when using Python TensorFlow?
- How do I resolve the "ImportError: cannot import name 'batchnormalization' from 'tensorflow.python.keras.layers'" error in software development?
- How can I use TensorFlow Lite with XNNPACK in Python?
- How can I install TensorFlow for Python 3.7?
- How can I check the version of TensorFlow and Keras I am using with Python?
- How can I use YOLOv3 with Python and TensorFlow?
See more codes...