average categorize some mnist digits

-- map MNIST idx format to csv, with tweaked code from here:
$ ./process_mnist.py

-- map first 100 mnist image-data to images:
$ ./mnist-data-to-images.py 100

-- map images to 10*10 image-ngrams sw file:
$ ./create-image-sw.py 10 work-on-handwritten-digits/images/mnist-image-*.bmp

-- rename sw file to something more specific:
$ mv image-ngram-superpositions-10.sw mnist-100--image-ngram-superpositions-10.sw

-- average categorize it (in this case with threshold t = 0.8):
$ ./the_semantic_db_console.py
sa: load mnist-100--image-ngram-superpositions-10.sw
sa: average-categorize[layer-0,0.8,phi,layer-1]
sa: save mnist-100--save-average-categorize--0_8.sw

-- convert these back to images (currently the source sw file is hard-coded into this script):
$ ./create-sw-images.py

-- tile the results:
$ cd work-on-handwritten-digits/
$ mv average-categorize-images mnist-100--average-categorize-images--threshold-0_8
$ ls -1tr mnist-100--average-categorize-images--threshold-0_8/* > image-list.txt
$ montage -geometry +2+2 @image-list.txt mnist-100--average-categorize-0_8.jpg