01467nam0-22004451i-450-99000880947040332120100908105640.0000880947FED01000880947(Aleph)000880947FED0100088094720090219g19959999km-y0itay50------baengUSa---j---001yyFundamentals of computingAllen B. Tucker ... [et al.]C++ Laboratory ManualNew York [etc.]McGraw-Hill International Editions©1995-2 v. (xi, 228 p. ; xii, 400 p.)ill.25 cmMcGraw-Hill Computer Science Series1.: Logic, problem solving, programs, and computer2.: Abstraction, data structures, and large software systemsSistemi software005Tucker,Allen B.62022ITUNINARICAUNIMARCBK990008809470403321EDUSU-005-2-120318SC1EDUSU-005-2-1A20321SC1EDUSU-005-2-1B20322SC1EDUSU-005-2-1C20320SC1EDUSU-005-2-1D20323SC1EDUSU-005-2-1E20319SC1EDUSU-005-2-220317SC1EDUSU-005-2-2A20313SC1EDUSU-005-2-2B20315SC1EDUSU-005-2-2C20316SC1SC1Fundamentals of computing375085UNINA01304nam 2200433 450 991049523770332120220513101105.01-4842-7341-9(CKB)5590000000549933(MiAaPQ)EBC6711388(Au-PeEL)EBL6711388(OCoLC)1265347198(CaSebORM)9781484273418(PPN)257357572(EXLCZ)99559000000054993320220513d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierState-of-the-art deep learning models in Tensorflow modern machine learning in the Google colab ecosystem /David Paper[Place of publication not identified] :Apress,[2021]©20211 online resource (388 pages)1-4842-7340-0 Machine learningReinforcement learningMachine learning.Reinforcement learning.006.31Paper David995402MiAaPQMiAaPQMiAaPQBOOK9910495237703321State-Of-the-Art Deep Learning Models in TensorFlow2554713UNINA