머신러닝스터디/2016/2016 10 01: Difference between revisions

Latest revision as of 16:51, 8 October 2016

머신러닝스터디/2016 머신러닝스터디/2016/목차

내용

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
- 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

@@ Line 17: / Line 17: @@
 == 더보기 ==
 * install bazel in linux: [https://www.bazel.io/versions/master/docs/install.html#ubuntu link]
-* https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/slim
+* tensorflow model slim: [https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/slim link]
-* https://github.com/tensorflow/models/blob/master/slim/scripts/finetune_inception_v1_on_flowers.sh
+* flower classification tutorial script : [https://github.com/tensorflow/models/blob/master/slim/scripts/finetune_inception_v1_on_flowers.sh link]