{"identifier":"/us/usc/t15/s9204","title":15,"num":"\u00a7\u202f9204.","heading":"Generative adversarial network defined","text":"\u00a7\u202f9204.\nGenerative adversarial network defined\nIn this chapter, the term \u201cgenerative adversarial network\u201d means, with respect to artificial intelligence, the machine learning process of attempting to cause a generator artificial neural network (referred to in this section as the \u201cgenerator\u201d\n1\n1 So in original. Probably should be followed by a closing parenthesis.","url":"https://projectusc.org/usc/t15/s9204.html","content":[{"t":"sec","id":"/us/usc/t15/s9204","children":[{"t":"num","text":"\u00a7\u202f9204."},{"t":"heading","text":"Generative adversarial network defined"},{"t":"content","text":"\n","children":[{"t":"p","text":"In this chapter, the term \u201cgenerative adversarial network\u201d means, with respect to artificial intelligence, the machine learning process of attempting to cause a generator artificial neural network (referred to in this section as the \u201cgenerator\u201d\u202f","children":[{"t":"ref","text":"1"},{"t":"num","text":"1","tail":"\u202fSo in original. Probably should be followed by a closing parenthesis."},{"t":"text","text":"\u202fSo in original. Probably should be followed by a closing parenthesis.","tail":" and a discriminator artificial neural network (referred to in this section as a \u201cdiscriminator\u201d) to compete against each other to become more accurate in their function and outputs, through which the generator and discriminator create a feedback loop, causing the generator to produce increasingly higher-quality artificial outputs and the discriminator to increasingly improve in detecting such artificial outputs."}],"tail":"\n"}]},{"t":"text","text":"\n"},{"t":"text","text":"\n"}]}]}