Catálogo Bibliográfico

Búsqueda por número de registro: 018816
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001 018816
005 20190705111859.0
008 180505s20182018nyud###f#b####001#0#eng#d
245 10 $a Deep learning with Python / $c Francois Chollet.
260 ## $a Shelter Island, New York : $b Manning Publications Co., $c c2018.
300 ## $a xxi, 361 pages : $b illustrations ; $c 24 cm.
500 ## $a Acceso electrónico a blog donde escribe el autor de la obra.
504 ## $a Incluye referencias bibliográficas e índice.
520 ## $a DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES * Practical code examples * In-depth introduction to Keras * Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.
020 ## $a 9781617294433
020 ## $a 1617294438
100 1# $a Chollet, Francois, $e author.
080 ## $a 681.3:519.713
082 04 $a 005.133 $2 23
650 #7 $a Phyton. $2 inist
650 #7 $a Programming lenguages. $2 inist
650 #7 $a Neural networks. $2 inist
650 #7 $a Artificial intelligence. $2 inist
650 #7 $a Lenguajes de programación. $2 inist
650 #7 $a Redes neuronales. $2 inist
690 ## $a Maestría en Física Médica
010 ## $a ##2018286242
040 ## $a BTCTA $b eng $c BTCTA $e rda $d BDX $d YDX $d GZO $d OQX $d IXA $d ORZ $d OCLCF $d SINLB $d DLC $d arbccab
856 41 $u http://campi.cab.cnea.gov.ar/tocs/23784.pdf $3 Indice
856 41 $u https://images-na.ssl-images-amazon.com/images/I/41kxrQD7R%2BL.%5FSX398%5FBO1,204,203,200%5F.jpg $3 Tapa

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