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** tensorflow 0.11.0rc설치 후 실행 가능 | ** tensorflow 0.11.0rc설치 후 실행 가능 | ||
** https://github.com/tensorflow/tensorflow/blob/r0.11/tensorflow/g3doc/get_started/os_setup.md | ** 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 | * docker | ||
Revision as of 13:24, 4 October 2016
- transfer, image retraining, fine-tune
- 튜토리얼로 flower classification을 해 보자.
- bazel build는 까다롭다.
- tensorflow 0.10rc에서 예제 스크립트 실행 불가
- tensorflow 0.11.0rc설치 후 실행 가능
- 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