Functions | |
def | _batch_norm_fn (x, scope=None) |
def | _create_network (incoming, reuse=None, weight_decay=1e-8) |
def | _network_factory (weight_decay=1e-8) |
def | _preprocess (image) |
def | 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) |
def | 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) |
def | main () |
def | parse_args () |
def | 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) |
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private |
Definition at line 7 of file freeze_model.py.
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private |
Definition at line 88 of file freeze_model.py.
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private |
Definition at line 160 of file freeze_model.py.
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private |
Definition at line 175 of file freeze_model.py.
def freeze_model.create_inner_block | ( | incoming, | |
scope, | |||
nonlinearity = tf.nn.elu , |
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weights_initializer = tf.truncated_normal_initializer(1e-3) , |
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bias_initializer = tf.zeros_initializer() , |
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regularizer = None , |
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increase_dim = False , |
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summarize_activations = True |
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) |
Definition at line 47 of file freeze_model.py.
def freeze_model.create_link | ( | incoming, | |
network_builder, | |||
scope, | |||
nonlinearity = tf.nn.elu , |
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weights_initializer = tf.truncated_normal_initializer(stddev=1e-3) , |
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regularizer = None , |
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is_first = False , |
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summarize_activations = True |
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) |
Definition at line 16 of file freeze_model.py.
def freeze_model.main | ( | void | ) |
Definition at line 194 of file freeze_model.py.
def freeze_model.parse_args | ( | ) |
Parse command line arguments.
Definition at line 180 of file freeze_model.py.
def freeze_model.residual_block | ( | incoming, | |
scope, | |||
nonlinearity = tf.nn.elu , |
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weights_initializer = tf.truncated_normal_initializer(1e3) , |
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bias_initializer = tf.zeros_initializer() , |
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regularizer = None , |
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increase_dim = False , |
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is_first = False , |
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summarize_activations = True |
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) |
Definition at line 76 of file freeze_model.py.