Nummer.nn

NeuralNet(neuralShape=np.array([784, 16, 16, 10]), state=np.array([0.9354815935655033, 0.034504937220642184, 0.3325402497447929, 0.16043083289129667, 0.6803469559668639, 0.9552972900875782, 0.6641881191218086, 0.8019587539595423, 0.049573958264490736, 0.10538861856369897, 0.8710231241506406, 0.46764436565381073, 0.41994605374703764, 0.9912680712700944, 0.9212072465079624, 0.7522318182484561, 0.5266816990559593, 0.956962782007852, 0.4158367058733584, 0.9096426475104744, 0.15573493298894436, 0.4917560505057823, 0.8011877842572239, 0.5633036630417163, 0.15521618562214756, 0.9397312359142586, 0.03792383291140777, 0.4479080480705704, 0.6394459435244515, 0.4701333117330647, 0.8626101259721621, 0.7690281816600242, 0.05100691324806372, 0.7759604170523007, 0.8092843092980015, 0.3509601252837775, 0.44879857750635865, 0.46507473072063366, 0.14969903683905594, 0.8445800759306236, 0.6765424837694818, 0.6036554504229292, 0.4084918941102099, 0.665228256997785, 0.43745379010338536, 0.5976472398711742, 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