- anaconda3-4.1.0
- TensorFlow 0.10
$ pyenv install anaconda3-4.1.0
$ conda create -n tensorflow python=3.5
$ source activate tensorflow
# $ source deactivate
$ conda install -c conda-forge tensorflow
- TensorFlow 0.10
$ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow
$ python tensorflow/examples/tutorials/mnist/fully_connected_feed.py
Training Data Eval:
Num examples: 55000 Num correct: 49480 Precision @ 1: 0.8996
Validation Data Eval:
Num examples: 5000 Num correct: 4521 Precision @ 1: 0.9042
Test Data Eval:
Num examples: 10000 Num correct: 9059 Precision @ 1: 0.9059
$ tensorboard --logdir=/xxxx/xxxx/ts_mnist_sample/data
Starting TensorBoard on port 6006
(You can navigate to http://0.0.0.0:6006)