000 06666nam a2200577 i 4500
001 8555403
003 IEEE
005 20220712204926.0
006 m o d
007 cr |n|||||||||
008 181218s2018 mau ob 001 eng d
010 _z 2017059862
020 _a9780262347938
_qelectronic book
020 _z0262347938
_qelectronic book
020 _z9780262038409
_qhardcover
020 _z0262038404
_qhardcover
035 _a(CaBNVSL)mat08555403
035 _a(IDAMS)0b000064888bc0e6
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQA76.87
_b.G49 2018eb
082 0 4 _a006.3
_223
100 1 _aGerrish, Sean,
_eauthor.
_925449
245 1 0 _aHow smart machines think /
_cSean Gerrish ; foreward by Kevin Scott.
264 1 _aCambridge, Massachusetts :
_bThe MIT Press,
_c[2018]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2018]
300 _a1 PDF (xiv, 298 pages).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _a1 -- The Secret of the Automaton; The Flute Player; Today's Automata; The Swing of a Pendulum; Automata We'll Discuss in this Book; 2 -- Self-Driving Cars and the DARPA Grand Challenge; The 1 Million Race in the Desert; How to Build a Self-Driving Car; Planning a Path; Path Search; Navigation; The Winner of the Grand Challenge; A Failed Race; 3 -- Keeping within the Lanes: Perception in Self-Driving Cars; The Second Grand Challenge; Machine Learning in Self-Driving Cars; Stanley's Architecture; Avoiding Obstacles; Finding the Road's Edges Seeing the RoadPath Planning; How Parts of Stanley's Brain Talked to Each Other; 4 -- Yielding at Intersections: The Brain of a Self-Driving Car; The Urban Challenge; Perceptual Abstraction; The Race; Boss's Higher-Level Reasoning Layer; Getting Past Traffic Jams; Three-Layer Architectures; Classifying the Objects Seen by Self-Driving Cars; Self-Driving Cars are Complicated Systems; The Trajectory of Self-Driving Cars; 5 -- Netflix and the Recommendation-Engine Challenge; A Million-Dollar Grand Prize; The Contenders; How to Train a Classifier; The Goals of the Competition; A Giant Ratings Matrix Matrix FactorizationThe First Year Ends; 6 -- Ensembles of Teams: The Netflix Prize Winners; Closing the Gap between Contenders; The End of the First Year; Predictions Over Time; Overfitting; Model Blending; The Second Year; The Final Year; After the Competition; 7 -- Teaching Computers by Giving Them Treats; DeepMind Plays Atari; Reinforcement Learning; Instructions to the Agent; Programming the Agent; How the Agent Sees the World; Nuggets of Experience; Playing Atari with Reinforcement Learning; 8 -- How to Beat Atari Games by Using Neural Networks; Neural Information Processing Systems Approximation, Not PerfectionNeural Networks as Mathematical Functions; The Architecture of an Atari-Playing Neural Network; Digging Deeper into Neural Networks; 9 -- Artificial Neural Networks' View of the World; The Mystique of Artificial Intelligence; The Automaton Chess Player, or the Turk; Misdirection in Neural Networks; Recognizing Objects in Images; Overfitting; ImageNet; Convolutional Neural Networks; Why "Deep" Networks?; Data Bottlenecks; 10 -- Looking Under the Hood of Deep Neural Networks; Computer-Generated Images; Squashing Functions; ReLU Activation Functions; Android Dreams 11 -- Neural Networks that Can Hear, Speak, and RememberWhat It Means for a Machine to "Understand"; Deep Speech II; Recurrent Neural Networks; Generating Captions for Images; Long Short-Term Memory; Adversarial Data; 12 -- Understanding Natural Language (and Jeopardy! Questions); Publicity Stunt or Boon to AI Research?; IBM Watson; Challenges in Beating Jeopardy; Long Lists of Facts; The Jeopardy Challenge is Born; DeepQA; Question Analysis; How Watson Interprets a Sentence; 13 -- Mining the Best Jeopardy! Answer; The Basement Baseline; Candidate Generation; Searching for Answers
506 _aRestricted to subscribers or individual electronic text purchasers.
520 8 _aThe future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these thingswork? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world-and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution-at least for now.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 0 _aOnline resource; title from PDF title page (EBSCOhost, viewed October 29, 2018).
650 0 _aNeural networks (Computer science)
_93414
650 0 _aMachine learning.
_91831
650 0 _aArtificial intelligence.
_93407
650 7 _aArtificial intelligence.
_2fast
_93407
650 7 _aMachine learning.
_2fast
_91831
650 7 _aNeural networks (Computer science)
_2fast
_93414
655 4 _aElectronic books.
_93294
700 1 _aScott, Kevin,
_ewriter of forward.
_925450
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_925451
710 2 _aMIT Press,
_epublisher.
_925452
776 0 8 _iPrint version:
_aGerrish, Sean.
_tHow smart machines think.
_dCambridge, MA : MIT Press, [2018]
_z9780262038409
_w(DLC) 2017059862
_w(OCoLC)1020297678
830 0 _aBook collections on Project MUSE.
_925453
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8555403
942 _cEBK
999 _c73563
_d73563