abstractions and you'll use neural network to approximate your -function howeveryour neural network will be extremely simpleyour output (sis matrix multiplied by your input this is known as neural network with one fully-connected layerq(sws to reiteratethe goal is to reimplement all of the logic from the bots we've already built using tensorflow' abstractions this will make your operations more efficientas tensorflow can then perform all computation on the gpu begin by duplicating your -table script from step cp bot_ _q_table py bot_ _q_network py then open the new file with nano or your preferred text editornano bot_ _q_network py firstupdate the comment at the top of the file/ataribot/bot_ _q_network py ""bot -use -learning network to train bot ""