tensorflow-deep-learning
tensorflow-deep-learning copied to clipboard
google tensorflow deep learning for big data examples
http://playground.tensorflow.org/#activation=relu®ularization=L2&batchSize=11&dataset=spiral®Dataset=reg-plane&learningRate=0.1®ularizationRate=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 
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 ##  CPU speed under tensorflow MNIST example ##  CPU speed under UBUNTU using tensorflow ##  Tensorflow cifar-10 CPU speed ...
AWS data
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...
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 ```