VarianceScaling¶
- class
dragon.vm.tensorflow.keras.initializers.
VarianceScaling
(
scale=1.0,
mode='fan_out',
distribution='normal',
dtype='float32'
)[source]¶ Fill tensor from a scaled random distribution.
__init__¶
VarianceScaling.
__init__
(
scale=1.0,
mode='fan_out',
distribution='normal',
dtype='float32'
)[source]¶Create a
RandomNormal
initializer.- Parameters:
- scale (float, optional, default=1) – The scale factor to distribution.
- mode ({'fan_in', 'fan_out', 'fan_avg'}, optional) – The mode for adapting to shape.
- distribution ({'normal', 'uniform'}, optional) – The optional distribution to generate values.
- dtype (str, optional, default='float32') – The data type to set as default.