How to initialize random values from a uniform distribution in TF learn

This recipe helps you initialize random values from a uniform distribution in TF learn

Recipe Objective

This recipe explains how to inisialize random values with uniform distributor in TFLayer.

Uniform

Its syntax is: tflearn.initializations.uniform (shape=None, minval=0, maxval=None, dtype=tf.float32, seed=None) where its arguments are shape, dtype and seed.
It inisialize a tensor with random values from a uniform distribution.

def Uniform(s=None, minn=0, maxx=None, d=tf.float32, seed=None):
    if s:
    return tf.random_uniform(s, minval=minn, maxval=maxx, seed=seed, dtype=d)
    else:
    return tf.random_uniform_initializer(minval=minn, maxval=maxx, seed=seed, dtype=d)

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