se_resnet.py File Reference

Go to the source code of this file.

Namespaces
	se_resnet

Functions
def	se_resnet.SEResNet (input_shape=None, initial_conv_filters=64, depth=[3, filters=[64, width=1, bottleneck=False, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet.SEResNet18 (input_shape=None, width=1, bottleneck=False, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet.SEResNet34 (input_shape=None, width=1, bottleneck=False, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet.SEResNet50 (input_shape=None, width=1, bottleneck=True, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet.SEResNet101 (input_shape=None, width=1, bottleneck=True, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet.SEResNet154 (input_shape=None, width=1, bottleneck=True, weight_decay=1e-4, include_top=True, weights=None, input_tensor=None, pooling=None, classes=1000)
def	se_resnet._resnet_block (input, filters, k=1, strides=(1, 1))
def	se_resnet._resnet_bottleneck_block (input, filters, k=1, strides=(1, 1))
def	se_resnet._create_se_resnet (classes, img_input, include_top, initial_conv_filters, filters, depth, width, bottleneck, weight_decay, pooling)

Variables
list	se_resnet.__all__ = ['SEResNet', 'SEResNet50', 'SEResNet101', 'SEResNet154', 'preprocess_input', 'decode_predictions']
string	se_resnet.WEIGHTS_PATH = ""
string	se_resnet.WEIGHTS_PATH_NO_TOP = ""