LEADER 04125nam 22007215 450 001 9910380733303321 005 20200702121852.0 010 $a9781484251249 010 $a1484251245 024 7 $a10.1007/978-1-4842-5124-9 035 $a(CKB)4100000010348645 035 $a(DE-He213)978-1-4842-5124-9 035 $a(MiAaPQ)EBC6109026 035 $a(CaSebORM)9781484251249 035 $a(PPN)242982042 035 $a(OCoLC)1176246108 035 $a(OCoLC)on1176246108 035 $a(EXLCZ)994100000010348645 100 $a20200207d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical MATLAB Deep Learning $eA Project-Based Approach /$fby Michael Paluszek, Stephanie Thomas 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (XV, 252 p. 111 illus., 100 illus. in color.) 311 08$a9781484251232 311 08$a1484251237 320 $aIncludes bibliographical references. 327 $a1 What is Deep Learning? -- 2 MATLAB Machine and Deep Learning Toolboxes -- 3 Finding Circles with Deep Learning -- 4 Classifying Movies -- 5 Algorithmic Deep Learning -- 6 Tokamak Disruption Detection -- 7 Classifying a Pirouette -- 8 Completing Sentences -- 9 Terrain Based Navigation -- 10 Stock Prediction -- 11 Image Classification -- 12 Orbit Determination. 330 $aHarness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You?ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You?ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images. Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities. You will: Explore deep learning using MATLAB and compare it to algorithms Write a deep learning function in MATLAB and train it with examples Use MATLAB toolboxes related to deep learning Implement tokamak disruption prediction. 606 $aProgramming languages (Electronic computers) 606 $aArtificial intelligence 606 $aComputer input-output equipment 606 $aComputer science?Mathematics 606 $aComputer programming 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aHardware and Maker$3https://scigraph.springernature.com/ontologies/product-market-codes/I29010 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aProgramming languages (Electronic computers) 615 0$aArtificial intelligence. 615 0$aComputer input-output equipment. 615 0$aComputer science?Mathematics. 615 0$aComputer programming. 615 14$aProgramming Languages, Compilers, Interpreters. 615 24$aArtificial Intelligence. 615 24$aHardware and Maker. 615 24$aMathematics of Computing. 615 24$aProgramming Techniques. 676 $a005.13 700 $aPaluszek$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0887778 702 $aThomas$b Stephanie$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910380733303321 996 $aPractical MATLAB Deep Learning$92502711 997 $aUNINA