tensorflow workshop

tensorflow for poets:

https://codelabs.developers.google.com/codelabs/tensorflow-for-poets/

Virtual Box -> Network -> port forward -> 6006 - 6006 and 8888 - 8888

docker run -it -p 6006:6006 -p 8888:8888 -v $HOME/tf_files:/tf_files gcr.io/tensorflow/tensorflow:latest-devel

python /tensorflow/tensorflow/models/image/imagenet/classify_image.py

curl -O http://grfx.cstv.com/photos/schools/psu/sports/m-soccer/auto_player/11356458.jpeg

python /tensorflow/tensorflow/models/image/imagenet/classify_image.py --image_file 11356458.jpeg


launch Tensor Board
docker exec -i -t <cont id> tensorboard --logdir /tmp/retrain_logs

launch Jupyter
docker exec -i -t <cont id> /run_jupyter.sh


More info about the Inception Model and Transfer Learning
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https://www.tensorflow.org/versions/r0.12/tutorials/image_recognition/index.html

TensorFlow Tutorial #07 - Inception Model
https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/07_Inception_Model.ipynb

TensorFlow Tutorial #08 - Transfer Learning
https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/08_Transfer_Learning.ipynb

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Machine Learning Recipes with Josh Gordon [beginner]	
https://www.youtube.com/watch?v=Gj0iyo265bc&list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal

Magnus Erik Hvass Pedersen TensorFlow Tutorials [intermediate]
https://github.com/Hvass-Labs/TensorFlow-Tutorials