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Goodfellow\ \[CloseCurlyQuote]s fellows were trying to solve with a complicated \ statistical method as it seemed nothing else would work properly.\ \>", "Subsubitem", CellChangeTimes->CompressedData[" 1:eJwlzE9Ik3EAxvGXCXYRJpYSenld+IeYSz3oSK33J1qSe8cQRzCTRNlBN2g6 sUNFtCEGqXSQOohpmjuooM6Wk0oNZZH/eHUqUpgKjs1+yqaNN4hZvs88PHwu D9/U2gcVRhnDMApp8PPepyyFj5Iv7ksquHVrPw9aLB41ZBXviiBT4+UgN7ri D/op0ZoGj+GI2yjCrtYnESizHXDpAUqmZ+UEJv72PYV3NnkbDL5sHsqQfMbX OGGFYBFgk+f7Lvw/XheA17gbEah9vc9kSjJWeyxULfRp4NLf1SroCF20wlT7 8EOom2t0dv+iJDtGnIAtB97yXkrJjlngoe4kff5I8mv43LXCHsOxpKiRN8Bi kZaqDqV+3r/bMG5jPjbliBJz+9sEWBQUWOg0yq7AV3cH1fD5va1CuORONsDr 9WnVsCR/uaAtSMljvZKDp+OmXHmIkiTXuY4LMTehmXRykM3Ytk0bD0koYGiF srrLL+BPfWIHfH9C38DiP+X9MHmg4Rv8kLu5CONd8T+gpZ7djf6WrX7oqLwf hh5dp3JG0nc6lgM/Tq6XwZmr21EZ7xQPux4JWngGMqstig== "],ExpressionUUID->"66922c12-869b-41bc-b2a6-5e3489ef0b5e"], Cell["\<\ Ian J. Goodfellow claimed that it was too complicated and suggested, after \ pondering over a beer that setting two neural networks to work against each \ other could solve the problem. The fellows of Goodfellow were not convinced.\ \>", "Subsubitem", CellChangeTimes->{{3.744010605902556*^9, 3.744010608647553*^9}, { 3.744010679133648*^9, 3.7440106942012253`*^9}, {3.7440107331291656`*^9, 3.7440107586054688`*^9}, {3.745480510458893*^9, 3.7454805891693487`*^9}, { 3.745480627178793*^9, 3.745480675922556*^9}, {3.74559181529712*^9, 3.745591816492278*^9}, {3.745592319185923*^9, 3.7455923384324083`*^9}, { 3.745594707642692*^9, 3.745594771009461*^9}, {3.7455950115254297`*^9, 3.7455951428367243`*^9}, {3.745595203115478*^9, 3.745595361945335*^9}, { 3.74559539914347*^9, 3.745595444107788*^9}, {3.74559600502468*^9, 3.745596126561865*^9}, {3.745596312623126*^9, 3.745596349359757*^9}, { 3.746880915555092*^9, 3.746880927687889*^9}, {3.7474125746222486`*^9, 3.74741259051329*^9}, {3.747573281217079*^9, 3.74757328121738*^9}, { 3.7475806289136744`*^9, 3.7475807524781446`*^9}, {3.747705391373811*^9, 3.747705407944189*^9}, {3.7481902621510067`*^9, 3.7481903570483913`*^9}, { 3.748190470529204*^9, 3.748190488074914*^9}, {3.7481906611669416`*^9, 3.7481906947612953`*^9}, {3.748190928835058*^9, 3.748190953169095*^9}, { 3.7494604464129963`*^9, 3.749460481385435*^9}, {3.749738899365477*^9, 3.749738899365855*^9}, {3.7497390000946836`*^9, 3.749739012445486*^9}, { 3.811439638911026*^9, 3.8114396588409348`*^9}, {3.811439704762086*^9, 3.811439720666732*^9}, {3.811439863373377*^9, 3.811439890373933*^9}, { 3.81144020333241*^9, 3.8114402226936903`*^9}, {3.8114403445221024`*^9, 3.811440433376918*^9}, {3.811440553711253*^9, 3.8114406642631474`*^9}, 3.8114410509899693`*^9, {3.811441192468521*^9, 3.811441209381432*^9}, { 3.8114412877293797`*^9, 3.8114413111772223`*^9}},ExpressionUUID->"4b137e1a-b08a-4525-8172-\ 284272e5c771"], Cell["\<\ So, reaching home, where his girlfriend was asleep Ian J. Goodfellow decided \ to prove it works and coded till early hours and got it working.\ \>", "Subsubitem", CellChangeTimes->CompressedData[" 1:eJwlzGkow3EAxvF/U3ihJlfizZDjBSMvRs7/T64wSUkNJdoLszJHvCFMohxJ oshtXqAwR3vhJsJoLBK5yjF+tLmm5Po/vHj69Lz5uuUUpEp5DMMIuMH5yzk/ 92tKljUOQngUeyWCCsV6MBS4D4VDJlvPQnZ899Z4S0lyvuoJjmmkZthWW/EJ eco71stAycISn0DHl+tKmHAoVkJjS8mIN2e1OFsNU3UKHSxaP76AP5O5BujP RnzC5I4rxoeTKa6xhMKtviSo/djLgMMm+2LoVjNaBlNWC9Vd95QEWJinYOmd PrGXUnIu14lhyrPX2iPnxuu/+2HdkidOcxJfBqPMNEb4wPVF33HQ5mDN0vWR Enljvx0MN+oEUC3lecD2dFUwrM88CoNajYsEhuR5ZsHooJ3QOiMl5Wm+LPya zA/kmyhxmvl32MoiEspJMwsF3qfKBekDMRkktZCX69wAz9Icm+D0M+2BUe+J A9BlULYJZwMPt6HtjO3J3+f73sD2FdEbtK6asFvkbO3vlMGzeNWfv3nIGpE= "],ExpressionUUID->"c9e80de7-a9b7-4d31-92f3-6e374f0b2558"] }, Open ]], Cell["\<\ So, some beer, sceptical friends , and a sleeping girlfriend were the needed \ ingredients.....\ \>", "Subitem", CellChangeTimes->CompressedData[" 1:eJwlzE9Ik3EAxvGXCVsHYUObyOowF2qHOWXC/NPM9zcsqzkRYQ6mgSQ7qAOn 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NeuralNetworks`NetPath["Nodes", "3", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "2", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "4", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "3", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "5", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "4", "Outputs", "Output"], NeuralNetworks`NetPath["Nodes", "6", "Inputs", "Input"] -> NeuralNetworks`NetPath["Nodes", "5", "Outputs", "Output"], NeuralNetworks`NetPath["Outputs", "Output"] -> NeuralNetworks`NetPath[ "Nodes", "6", "Outputs", "Output"]}, "Inputs" -> Association[ "Input" -> NeuralNetworks`TensorT[{10}, NeuralNetworks`RealT]], "Outputs" -> Association[ "Output" -> NeuralNetworks`TensorT[{}, NeuralNetworks`RealT]]], NeuralNetworks`Private`NetChain`opart, NeuralNetworks`Private`NetChain`part, NeuralNetworks`Private`NetChain`selected = Null}, DynamicBox[ GridBox[{{ TagBox[ TagBox[ GridBox[{{ TagBox[ TagBox[ "\"\"", Annotation[#, {"Inputs", "Input"}, 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TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, "RowDefault"], GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], Annotation[#, {"Nodes", "1"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}, { TagBox[ TagBox[ StyleBox["\"2\"", GrayLevel[0.5], StripOnInput -> False], Annotation[#, {"Nodes", "2"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ StyleBox["ParametricRampLayer", GrayLevel[0], StripOnInput -> False], Annotation[#, {"Nodes", "2"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ TemplateBox[{"\"vector\"", "\" \"", StyleBox[ TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", "\":\"", "\" \"", TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, "RowDefault"], GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], Annotation[#, {"Nodes", "2"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}, { TagBox[ TagBox[ StyleBox["\"3\"", 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TemplateBox[{"\"vector\"", "\" \"", StyleBox[ TemplateBox[{"\"(\"", "\"\[VeryThinSpace]\"", "\"size\"", "\":\"", "\" \"", TemplateBox[{"\[Times]", "\"\[Times]\"", "\"10\""}, "RowWithSeparators"], "\"\[VeryThinSpace]\"", "\")\""}, "RowDefault"], GrayLevel[0.5], StripOnInput -> False]}, "RowDefault"], Annotation[#, {"Nodes", "4"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}, { TagBox[ TagBox[ StyleBox["\"5\"", GrayLevel[0.5], StripOnInput -> False], Annotation[#, {"Nodes", "5"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ StyleBox["LinearLayer", GrayLevel[0], StripOnInput -> False], Annotation[#, {"Nodes", "5"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ "\"real\"", Annotation[#, {"Nodes", "5"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}, { TagBox[ TagBox[ StyleBox["\"6\"", GrayLevel[0.5], StripOnInput -> False], Annotation[#, {"Nodes", "6"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ StyleBox["Tanh", GrayLevel[0], StripOnInput -> False], Annotation[#, {"Nodes", "6"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ "\"real\"", Annotation[#, {"Nodes", "6"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}, { TagBox[ TagBox[ "\"\"", Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ "\"Output\"", Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]], TagBox[ TagBox[ "\"real\"", Annotation[#, {"Outputs", "Output"}, "Mouse"]& ], MouseAppearanceTag["LinkHand"]]}}, GridBoxAlignment -> {"Columns" -> {{Left}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1.1}}}], "Grid"], EventHandlerTag[{"MouseClicked" :> If[ ListQ[ NeuralNetworks`Private`NetChain`part = MouseAnnotation[]], If[NeuralNetworks`Private`NetChain`opart === NeuralNetworks`Private`NetChain`part, NeuralNetworks`Private`NetChain`selected = Null; NeuralNetworks`Private`NetChain`opart = 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