What is uniform scaling in TF learn explain

This recipe explains what is uniform scaling in TF learn

Recipe Objective

This recipe explains uniform scaling in TFLayer.

Learn About the Application of ARCH and GARCH models in Real-World

Uniform Scaling

Its syntax is: tflearn.initializations.uniform_scaling (shape=None, factor=1.0, dtype=tf.float32, seed=None) where its arguments are shape which is a shape to initialize a Tensor, factor which is a multiplicative factor by which the values will be scaled, dtype which is the tensor data type and seed which is used to create a random seed for the distribution.

def Uniform_Scaling(shape=None, factor=1.0, dtype=tf.float32, seed=None):

    if shape:
       size = 1.0
       for d in shape[:-1]:
          size *= float(d)
       maxx = math.sqrt(3 / size) * factor
       return tf.random_ops.random_uniform(shape, -maxx, maxx, dtype, seed=seed)
    else:
       return tf.uniform_unit_scaling_initializer(seed=seed, dtype=dtype)

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