Functions
freeze_model Namespace Reference

Functions

def _batch_norm_fn
def _create_network
def _network_factory
def _preprocess
def create_inner_block
def create_link
def main
def parse_args
def residual_block

Function Documentation

def freeze_model._batch_norm_fn (   x,
  scope = None 
) [private]

Definition at line 7 of file freeze_model.py.

def freeze_model._create_network (   incoming,
  reuse = None,
  weight_decay = 1e-8 
) [private]

Definition at line 88 of file freeze_model.py.

def freeze_model._network_factory (   weight_decay = 1e-8) [private]

Definition at line 160 of file freeze_model.py.

def freeze_model._preprocess (   image) [private]

Definition at line 175 of file freeze_model.py.

def freeze_model.create_inner_block (   incoming,
  scope,
  nonlinearity = tf.nn.elu,
  weights_initializer = tf.truncated_normal_initializer(1e-3),
  bias_initializer = tf.zeros_initializer(),
  regularizer = None,
  increase_dim = False,
  summarize_activations = True 
)

Definition at line 43 of file freeze_model.py.

def freeze_model.create_link (   incoming,
  network_builder,
  scope,
  nonlinearity = tf.nn.elu,
  weights_initializer = tf.truncated_normal_initializer(stddev=1e-3),
  regularizer = None,
  is_first = False,
  summarize_activations = True 
)

Definition at line 13 of file freeze_model.py.

def freeze_model.main ( void  )

Definition at line 194 of file freeze_model.py.

Parse command line arguments.

Definition at line 180 of file freeze_model.py.

def freeze_model.residual_block (   incoming,
  scope,
  nonlinearity = tf.nn.elu,
  weights_initializer = tf.truncated_normal_initializer(1e3),
  bias_initializer = tf.zeros_initializer(),
  regularizer = None,
  increase_dim = False,
  is_first = False,
  summarize_activations = True 
)

Definition at line 72 of file freeze_model.py.



jsk_perception
Author(s): Manabu Saito, Ryohei Ueda
autogenerated on Tue Jul 2 2019 19:41:08