squeezenet

SqueezeNet

squeezenet(_bypass/_complex).py - academic (idiomatic)
squeezenet(_bypass/_complex)_c.py - production (composable)

Paper

Macro-Architecture

Micro-Architecture

Stem Group

Fire Block

Classifier Group

Fire Bypass Micro-Archirecture

Fire Bypass Block

Fire Complex Bypass Micro-Archirecture

Fire Complex Bypass Block

Composable

Example: Instantiate a stock SqueezeNet model

from squeezenet_c import SqueezeNet
# SqueezeNet from research paper
squeezenet = SqueezeNet()

# ResNeXt50 custom input shape/classes
squeezenet = SqueezeNet(input_shape=(128, 128, 3), n_classes=50)

# getter for the tf.keras model
model = squeezenet.model

Example: Compose and Train a SqueezeNet model

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