neural networks and deep learning warningthis is not meant to be an efficient implementation of deep learning if you want to do serious machine learning on meduim-sized or large datawe would recommend keras ((arehoweverblack boxes the aipython neural network code should be seen like car engine made of glassyou can see exactly how it workseven if it is not fast we have made parameters that are the same as in keras have the same names layers neural network is built from layers this provides modular implementation of layers layers can easily be stacked in many configurations layer needs to implement function to compute the output values from the inputsa way to back-propagate the errorand perhaps update its parameters learnnn py -neural network learning from learnproblem import learnerdata_setdata_from_filedata_from_filesevaluate from learnlinear import sigmoidonesoftmaxindicator import randommathtime class layer(object)def __init__(selfnnnum_outputs=none)