mobilenet

MobileNet v1.0

Paper

mobilenet(v1).py - academic (idiomatic)
mobilenet(v1)_c.py - production (composable)

Macro-Architecture

Micro-Architecture

Stem Group

Depthwise Separable Block

Strided Depthwise Separable Block

Classifier Group

MobileNet v2.0

mobilenet(v2).py - academic (idiomatic)
mobilenet(v2)_c.py - production (composable)

Paper

Macro-Architecture

Micro-Architecture

Stem Group

Inverted Residual Block

Strided Inverted Residual Block

Classifier

MobileNet v3.0

mobilenet(v3).py - academic (idiomatic)
mobilenet(v3)_c.py - production (composable)

Paper

Macro-Architecture

Micro-Architecture

Stem Group

Attention Block

Squeeze Block

Classifier Group

Composable

Example: Instantiate a stock MobileNet V2 model

from mobilenet_v2_c import MobileNetV2

# MobileNet v2.0 from research paper
mobilenet = MobileNetV2()

# MobileNet v2.0 custom input shape/classes
mobilenet = MobileNetV2(input_shape=(128, 128, 3), n_classes=50)

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

Example: Composable and Train a MobileNet V1 model

    ''' Example for constructing/training a MobileNet V1 model on CIFAR-10
    '''
    # Example of constructing a mini-MobileNet
    groups = [ { 'n_filters': 128,  'n_blocks': 1 },
               { 'n_filters': 256,  'n_blocks': 1 },
               { 'n_filters': 1024,  'n_blocks': 2 } ]
    mobilenet = MobileNetV1(groups, input_shape=(32, 32, 3), n_classes=10)
    mobilenet.model.summary()
    mobilenet.cifar10()