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google tensorflow deep learning for big data examples

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http://playground.tensorflow.org/#activation=relu&regularization=L2&batchSize=11&dataset=spiral&regDataset=reg-plane&learningRate=0.1&regularizationRate=0.01&noise=5&networkShape=7,3&seed=0.97185&showTestData=false&discretize=false&percTrainData=70&x=true&y=true&xTimesY=true&xSquared=true&ySquared=true&cosX=false&sinX=true&cosY=false&sinY=true&collectStats=false&problem=classification&initZero=false&hideText=false

Is there something that must be done to get PIL.Image to display properly? I did add jupyter et al to my virtualenv. It is just outputing: and not displaying anything.

Hello, I installed tensorflow on windows and executed this tutorial as python word2vec.py and got the following errors ![word2vec](https://cloud.githubusercontent.com/assets/20130992/24427960/d15aa570-13da-11e7-98d9-ba86568e1da1.PNG)

tensorflow DisplayFractal(ns.eval()) fails in docker image. ``` >>> DisplayFractal(ns.eval()) ``` What can I say. Release early, fix often.

## WIKI Pictures NNet-example tensorflow at runtime ## ![tensorflow-convolutional-neural-net-example](https://cloud.githubusercontent.com/assets/2569565/11316955/d42c5f26-8fd0-11e5-819f-abf01f081869.PNG) CPU speed under tensorflow MNIST example ## ![tensorflow-epoch-4ghz](https://cloud.githubusercontent.com/assets/2569565/11316957/fbe5c20a-8fd0-11e5-98df-f4a3d3dea57d.png) CPU speed under UBUNTU using tensorflow ## ![tensorflow-mnist-memory-footprint-cpu-only](https://cloud.githubusercontent.com/assets/2569565/11316958/109daa32-8fd1-11e5-96b9-074b43d105bb.PNG) Tensorflow cifar-10 CPU speed ![tensorflow-cifar10-cpu-profile](https://cloud.githubusercontent.com/assets/2569565/11321221/5bb0e56c-906b-11e5-8e3c-affd090c6768.PNG)...

The performance seems not right for AWS instances. My performance with GPU under g2.2 is about the same with 2X TitanX.

cifar10_eval.py is not able to follow its [own rules](http://www.tensorflow.org/api_docs/python/state_ops.html#saving_and_restoring_variables) without messing up the output. ``` vm@ubuntu:~/tensorflow/tensorflow/models/image/cifar10$ python cifar10_eval.py I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 8 I tensorflow/core/common_runtime/local_session.cc:45] Local...

wontfix

WARNING:root:IOError [Errno 2] No such file or directory happens for the cifar example when tensorboard is started on http://localhost:6006/ ``` 127.0.0.1 - - [21/Nov/2015 19:40:23] "GET /external/promise-polyfill/Promise.js HTTP/1.1" 200 -...

TF gobble for missing a file or directory ``` root@fb729273837c:/tensorflow# bazel-bin/tensorflow/models/embedding/word2vec_optimized --train_data=text8 --eval_data=questions-words.txt --save_path=/tmp/ I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 8 I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism...

``` root@fb729273837c:/tensorflow/tensorflow/models/embedding# python word2vec_optimized.py --train_data=text8 --eval_data=questions-words.txt --save_path=/tmp/ Traceback (most recent call last): File "word2vec_optimized.py", line 26, in from tensorflow.models.embedding import gen_word2vec as word2vec ImportError: No module named embedding ```