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Shakespeare-generator

Using Tensorflow, I created a generator that creates new Shakespearean work. Data-set was all of Shakespeare's plays. Go to /Notebook/chatbot-master.ipynb -> Scroll to bottom to see output. Looks like: Screenshot

Using Java Deep learning - April 30th

I've decided to go ahead and try it again with a Java network. It is much more stable and lets me use BOTH my GPU's. Here's what turned out: Screenshot2

(March 27) It works! With salty hardware limitations...

It's ok though, hardware limitations proove that you're doing your best Have a look at the notebook and scroll all the way to the bottom to see results. I only could get her at 50,000 iterations to a loss of 1.7; It only trained for about 2 hours on my 2 GPU's. I went from a test train which took 12 hours and 100% of my CPU (loss only hit 2.2); then I made modifications and using 97% of RAM and only 40% CPU I managed to cut the time to 2 hours and a loss of 1.7

Update: (April 9) using floyd

I used the Floyd machine learning website and managed to get a better outcome, although not understandable a plan to make a better version soon.

For the model data:

got to /Notebook/ckpt/* These are all of the most recent checkpoint stats.