Retraining Progress

Updated the software, hardware and training file for the neural network. We'll be posting poems generated as the it trains over the next few days.  Hopefully you'll see the increase in readability.

this is after 2600 iterations with a temperature of 0.9

Q qenepchiss
     wopipoing and
     and thind are snows
     rid wish
     to sseund brotkey led
     mirle mranky
     mone, cetefen the how. I cothasfen wonge
     white.
     ceae
     bere sasly socet,sow. and hore gef ky whote ad I ssefrroir this ankocler
     in geuld at othet
     and in a lunger reeces on. he tetsen syead he kilsing and roasot annbelgal
     and a shusleces
     yor cos
     and gaige wy shangar wad roted the meike it. the teest woan Iind the nononinl,, oty geach
     and she tay uf, moderertovens't
     sits whinr a
 is wotes

on the lower end of the temperature scale, we get a sense of what words the neural network is getting confident with.

And and core the sat the and
     the and the torled the cosan the the the shele the shone on and and the the the the she the soit the the the sanler a the the the the the the and where the thes hone and the the the the the tond the the leen mone the heund the bent on the the the the the the the were the the and and the the the the the the worte the and the the the wind the the the the the the and the lorgen the there the the the wide the the the at in and the mean the lot the watting the the the conder he the bour and the net on the there the shate chart a sat cele he she the the the the cat the the and the woth her and the there the there and the the and and the the man and shoce she the the the the the the gele the the and she the the the the the sand the onsed the the wet