Initializer capable of adapting its scale to the shape of weights.
With distribution=NORMAL, samples are drawn from a truncated normal
distribution centered on zero, with stddev = sqrt(scale / n) where n is:
number of input units in the weight tensor, if mode = FAN_IN.
number of output units, if mode = FAN_OUT.
average of the numbers of input and output units, if mode = FAN_AVG.
With distribution=UNIFORM,
samples are drawn from a uniform distribution
within [-limit, limit], with limit = sqrt(3 * scale / n).
Initializer capable of adapting its scale to the shape of weights. With distribution=NORMAL, samples are drawn from a truncated normal distribution centered on zero, with
stddev = sqrt(scale / n)where n is:limit = sqrt(3 * scale / n).