What would be a good way to ensure that TensorFlow results keep different runs? I can not find much information, for example. initialization of a random sowing weight, so my results tend to vary with each run.
The tf.set_random_seed() API method can be used to set a random seed that will be used in all TensorFlow random operations (including regular random weight initializers and tf.RandomShuffleQueue ).
tf.set_random_seed()
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