January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Populating tensor elements with a random distribution
TensorFlow provides us with the functions to generate tensors filled with random valued distributions.
The distributions generated are affected by the graph-level or the operation-level seed. The graph-level seed is set using tf.set_random_seed, while the operation-level seed is given as the argument seed in all of the random distribution functions. If no seed is specified, then a random seed is used.
More details on random seeds in TensorFlow can be found at the following link: https://www.tensorflow.org/api_docs/python/tf/set_random_seed.
The following table lists some of the tensor generating functions to populate elements of the tensor with random valued distributions:
| Tensor generating ... |
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