LEADER 03381nam 22005295 450 001 9910369899703321 005 20200702063853.0 010 $a9781484251744 010 $a1484251741 024 7 $a10.1007/978-1-4842-5174-4 035 $a(CKB)4100000009940197 035 $a(MiAaPQ)EBC5987631 035 $a(DE-He213)978-1-4842-5174-4 035 $a(CaSebORM)9781484251744 035 $a(OCoLC)1140553230 035 $a(OCoLC)on1140553230 035 $a(EXLCZ)994100000009940197 100 $a20191129d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning with the Raspberry Pi $eExperiments with Data and Computer Vision /$fby Donald J. Norris 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (571 pages) 225 1 $aTechnology in action 300 $aIncludes index. 311 08$a9781484251737 311 08$a1484251733 320 $aIncludes bibliographical references. 327 $aChapter 1: Introduction to Machine Learning (ML) with the Raspberry Pi (RasPi) -- Chapter 2: Exploration of ML data models: Part 1 -- Chapter 3: Exploration of ML data models: Part 2 -- Chapter 4: Preparation for Deep Learning -- Chapter 5: Practical deep learning ANN demonstrations -- Chapter 6: CNN demonstrations -- Chapter 7: Predictions using ANNs and CNNs -- Chapter 8: Predictions using CNNs and MLPs for medical research -- Chapter 9: Reinforcement Learning. . 330 $aUsing the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you?ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects. 606 $aComputer input-output equipment 606 $aHardware and Maker$3https://scigraph.springernature.com/ontologies/product-market-codes/I29010 615 0$aComputer input-output equipment. 615 14$aHardware and Maker. 676 $a006.31 700 $aNorris$b Donald J$4aut$4http://id.loc.gov/vocabulary/relators/aut$0892437 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910369899703321 996 $aMachine Learning with the Raspberry Pi$92115721 997 $aUNINA