머신러닝스터디/2016
머신러닝스터디/2016/목차

내용

  • transfer, image retraining, fine-tune
  • 튜토리얼로 flower classification(https://www.tensorflow.org/versions/r0.9/how_tos/image_retraining/index.html#training-on-flowers)을 해 보자.
    • bazel build는 까다롭다.
    • tensorflow 0.10rc에서 예제 스크립트(https://github.com/tensorflow/models/blob/master/slim/scripts/finetune_inception_v1_on_flowers.sh) 실행 불가
    • tensorflow 0.11.0rc설치 후 실행 가능
    • 바이너리 링크 참고: https://github.com/tensorflow/tensorflow/blob/r0.11/tensorflow/g3doc/get_started/os_setup.md
      # Ubuntu/Linux 64-bit, CPU only, Python 2.7
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl

# Ubuntu/Linux 64-bit
$ sudo apt-get install python-pip python-dev python-virtualenv
  • docker

더보기

  • install bazel in linux: link(https://www.bazel.io/versions/master/docs/install.html#ubuntu)
  • tensorflow model slim: link(https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/slim)
  • flower classification tutorial script : link(https://github.com/tensorflow/models/blob/master/slim/scripts/finetune_inception_v1_on_flowers.sh)
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last modified 2021-02-07 05:29:27