zoo/squeezenet/squeezenet_complex_c.py
def example():
    ''' Example for constructing/training a SqueezeNet Complex  model on CIFAR-10
    '''
    # Example of constructing a mini-SqueezeNet
    groups = [ [ { 'n_filters' : 16 }, { 'n_filters' : 16 }, { 'n_filters' : 32 } ],
               [ { 'n_filters' : 64 } ] ]
    squeezenet = SqueezeNetComplex(groups, input_shape=(32, 32, 3), n_classes=10)
    squeezenet.model.summary()
    squeezenet.cifar10()
 Example for constructing/training a SqueezeNet Complex  model on CIFAR-10
    
Example for constructing/training a SqueezeNet Complex  model on CIFAR-10
Example for constructing / training a SqueezeNet Complex model on CIFAR - 10
def example():
    groups = [ [ { 'n_filters' : 16 }, { 'n_filters' : 16 }, { 'n_filters' : 32 } ],
               [ { 'n_filters' : 64 } ] ]
    squeezenet = SqueezeNetComplex(groups, input_shape=(32, 32, 3), n_classes=10)
    squeezenet.model.summary()
    squeezenet.cifar10()
def example ( ) : groups = [ [ { 'n_filters' : 16 } , { 'n_filters' : 16 } , { 'n_filters' : 32 } ] , [ { 'n_filters' : 64 } ] ] squeezenet = SqueezeNetComplex ( groups , input_shape = ( 32 , 32 , 3 ) , n_classes = 10 ) squeezenet . model . summary ( ) squeezenet . cifar10 ( )
Example for constructing/training a SqueezeNet Complex  model on CIFAR-10
Example for constructing / training a SqueezeNet Complex model on CIFAR - 10
''' Example for constructing/training a SqueezeNet Complex  model on CIFAR-10
    ''' # Example of constructing a mini-SqueezeNet