03655cam a22005175i 4500 21736935 OSt 20220412104404.0 m |o d | cr ||||||||||| 171206s2017 xxu|||| o |||| 0|eng 2019754609 9781484230961 10.1007/978-1-4842-3096-1 doi (DE-He213)978-1-4842-3096-1 DLC eng pn rda DLC COM004000 bisacsh UYQ bicssc UYQ thema 005.76813 1 PATS Pattanayak, Santanu. 29464 Pro Deep Learning with TensorFlow : a mathematical approach to advanced artificial intelligence in python / By Santanu Pattanayak. 1st ed. New York : Apress , 2020 Berkeley, CA : Apress : Imprint: Apress, 2017. xxi, 397p. 24 cm. text txt rdacontent computer c rdamedia Chapter 1: Mathematical Foundations -- Chapter 2: Introduction to Deep Learning Concepts and TensorFlow -- Chapter 3: Convolutional Neural Networks -- Chapter 4: Natural Language Processing Using Recursive Neural Networks -- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders -- Chapter 6: Advanced Neural Networks. Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community. What You'll Learn: Understand full stack deep learning using TensorFlow and gain a solid mathematical foundation for deep learning Deploy complex deep learning solutions in production using TensorFlow Carry out research on deep learning and perform experiments using TensorFlow. Description based on publisher-supplied MARC data. Mathematical foundations 29465 Convolutional neural networks 29466 Advanced neural networks 29467 Big data. 29468 Python (Computer program language). 29469 Artificial Intelligence. https://scigraph.springernature.com/ontologies/product-market-codes/I21000 29470 Big Data. https://scigraph.springernature.com/ontologies/product-market-codes/I29120 29471 Python. https://scigraph.springernature.com/ontologies/product-market-codes/I29080 29472 Print version: Pro deep learning with tensorflow 9781484230954 (DLC) 2017962327 Printed edition: 9781484230954 Printed edition: 9781484230978 Printed edition: 9781484252499 0 ibc origres u ncip 20 y-gencatlg ddc BK 1st 005.76813 PATS 222382 222382 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 1249.00 Bill no: 6623 ; Bill dt: 2022-03 0 005.76813 PATS MCA17075 2026-05-23 00:00:00 999.00 2022-04-12 BK