Type variance_scaling_initializer
Namespace tensorflow
Parent Initializer
Interfaces Ivariance_scaling_initializer
Initializer capable of adapting its scale to the shape of weights tensors. With `distribution="truncated_normal" or "untruncated_normal"`,
samples are drawn from a truncated/untruncated normal
distribution with a mean of zero and a standard deviation (after truncation,
if used) `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)`.
Methods
Properties
Public static methods
variance_scaling_initializer NewDyn(ImplicitContainer<T> scale, ImplicitContainer<T> mode, ImplicitContainer<T> distribution, object seed, ImplicitContainer<T> dtype)
Initialize self. See help(type(self)) for accurate signature.