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mobilenet's Introduction

MobileNet

MobileNetV2

dataset

https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz

image_preprocessing

https://github.com/tensorflow/models/blob/master/research/slim/preprocessing/inception_preprocessing.py

mobile pre train model

mobilenet.ckpt

https://github.com/alexchungio/models/tree/master/research/slim/nets/mobilenet

train and validation result

hyper parameter config

  • batch size: 32
  • learning rate: 0.0001
  • decay rate: 0.9
  • num epoch percent decay: 20
  • weight decay: 0.00004
  • dropout keep prob: 0.8
  • epoch: 30

depth multiplier == 1.4

loss accuracy
train 1.0293749570846558 0.96875
val 1.0631169080734253 0.9320651888847351

depth multiplier == 1.0

loss accuracy
train 1.0218572616577148 0.96875
val 1.0486029386520386 0.9429348111152649

depth multiplier == 0.75

loss accuracy
train 1.0015695095062256 0.96875
val 1.030778408050537 0.936141312122345

depth multiplier == 0.50

loss accuracy
train 0.9928182363510132 0.9375
val 1.0167617797851562 0.926630437374115

mobilenet's People

Contributors

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Watchers

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