zoo/resnet/resnet_v2_c.py
def example():
    ''' Example for constructing/training a ResNet V2 model on CIFAR-10
    '''
    # Example of constructing a mini-ResNet
    groups = [ { 'n_filters' : 64, 'n_blocks': 1 },
               { 'n_filters': 128, 'n_blocks': 2 },
               { 'n_filters': 256, 'n_blocks': 2 }]
    resnet = ResNetV2(groups, input_shape=(32, 32, 3), n_classes=10)
    resnet.model.summary()
    resnet.cifar10()
 Example for constructing/training a ResNet V2 model on CIFAR-10
    
Example for constructing/training a ResNet V2 model on CIFAR-10
Example for constructing / training a ResNet V2 model on CIFAR - 10
def example():
    groups = [ { 'n_filters' : 64, 'n_blocks': 1 },
               { 'n_filters': 128, 'n_blocks': 2 },
               { 'n_filters': 256, 'n_blocks': 2 }]
    resnet = ResNetV2(groups, input_shape=(32, 32, 3), n_classes=10)
    resnet.model.summary()
    resnet.cifar10()
def example ( ) : groups = [ { 'n_filters' : 64 , 'n_blocks' : 1 } , { 'n_filters' : 128 , 'n_blocks' : 2 } , { 'n_filters' : 256 , 'n_blocks' : 2 } ] resnet = ResNetV2 ( groups , input_shape = ( 32 , 32 , 3 ) , n_classes = 10 ) resnet . model . summary ( ) resnet . cifar10 ( )
Example for constructing/training a ResNet V2 model on CIFAR-10
Example for constructing / training a ResNet V2 model on CIFAR - 10
''' Example for constructing/training a ResNet V2 model on CIFAR-10
    ''' # Example of constructing a mini-ResNet