About 20 years ago I played around with making software neural networks, but I always thought they would work better as a hardware device with software support. Fast forward 20 years and google has developed and open sourced tensorflow. Software proof that Neural networks and deep learning work fine. I need to understand this new python library (I prefer using javascript but appreciated the power and ease of python.)
Note: First Video on the cloud9 site you need to paste this link
Note: Third video on the cloud9 site you need to paste this link
Note: Forth Repository (Still working on why this setup.sh file takes almost an hour to install, Strangely installs numpy from source instead of the pip resource. Fully works just a really long installation) that presently does not have a video on the cloud9 site you need to paste this link
The reason this way of installing TensorFlow is so easy for beginners is that you just have to right click and run all the rocksetta files, no installing issues, no running python on the command line, no looking up command line parameters.
Good luck and I hope you enjoy it.
Jan 4, 2016
Here is an image of the symbols used in TensorBoard
May 23, 2016
skFlow Docs helper page (also called Tensorflow Contrib Learn main tensorflow master link at https://www.tensorflow.org/versions/master/api_docs/python/contrib.learn.html#RunConfig) My link at skflow-docs.html
