be friends. ;; -- Robin Goodfellow (def og; the window "To withstand the presence of ghosts." (let [us "Know that they all lived"; & the-window "is open"] [us, the-window])) (defn f[or-me] (let [the-ending-be " happily ever after"] [the-ending-be, or-me])) (def o "Rest now, the ending is written on the tallest tree.") (let [me og;re able " "; & open hands-inef (f able)] o (str;ange! We are haunted. (first me) (first (f able)))); &
I echo back each sting Thrown by thy vigils keep 'Mongst boughs pavillion'd, where sheeted lightning plays; Or, on a train Of whitest arms in these joys That through half veil'd face of his latest breath, While from Armida's bowers, And, warrior, it e'er will keep A fragile dew-drop on the room like something from his trappings glow Of this wonder of Despair, Strive for lo! I feel their soft "Lydian airs," And fresh sward beneath it, (For knightly casque are thirsty every hour. And can make "a sun-shine in throngs before him away, Than the goodliest view a Poet, sure shall be alone. Yet these scribblings might call my spirit shroud, Sweet too upheld the supreme of May seem a flower, into a gentle doings: They should not the eastern dimness, And his star-cheering voice sweetly they occasion; 'tis I marvel much more beautiful, more pleasing, a new sun-rise.
cup mixture • 1 teaspoon juice • 1 chunks • ¼ lb fresh surface • ¼ teaspoon brown leaves • ½ cup with no noodles • 1 round meat in bowl Credit: https://www.dailydot.com/unclick/neural-network-recipe-generator/
by Andrej Karpathy (May 2015) • “There’s something magical about Recurrent Neural Networks (RNNs).” • http://karpathy.github.io/2015/05/21/rnn- effectiveness/ • https://github.com/karpathy/char-rnn (used to generate the recipes and guinea pig names)
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