LEADER 03502oam 2200517 450 001 9910483166903321 005 20210622145632.0 010 $a3-030-57077-0 024 7 $a10.1007/978-3-030-57077-4 035 $a(CKB)4100000011728509 035 $a(DE-He213)978-3-030-57077-4 035 $a(MiAaPQ)EBC6462070 035 $a(PPN)253255090 035 $a(EXLCZ)994100000011728509 100 $a20210622d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProgramming with TensorFlow $esolution for edge computing applications /$fKolla Bhanu Prakash, G. R. Kanagachidambaresan, editors 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (X, 190 p.) 225 1 $aEAI/Springer Innovations in Communication and Computing 311 $a3-030-57076-2 327 $aIntroduction -- Installation Guide to Tensorflow -- Hello Tensorflow Program -- Representation of Vector -- Session with Tensorflow -- Matrix elementary operation -- Variable and constant -- Simple mathematical operation -- Matrix -- Variable Concept & Implementation -- Placeholder Concept & Implementation -- Equation with Tensor -- Matplot -- Regression Model -- Neural Network -- Convolutional Neural Network -- Recurrent Neural Network -- Application of Machine Learning & Deep Learning -- Implementing Chatbots -- Working with Text and Sequences + TensorBoard visualization -- TensorFlow Autoencoders -- Advanced TensorFlow Programming -- Reinforcement Learning -- RNN & LSTM using Keras -- Deep Learning with Pytorch -- Conclusion. 330 $aThis practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience?from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs). Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networks; Pertains to a broad technical audience?from data scientists and engineers to students and researchers; Shows how to implement advanced techniques in deep learning and explore deep neural networks and layers of data abstraction. 410 0$aEAI/Springer innovations in communication and computing. 606 $aNeural networks (Computer science) 606 $aMachine learning 606 $aTensorFlow 615 0$aNeural networks (Computer science) 615 0$aMachine learning. 615 0$aTensorFlow. 676 $a006.32 702 $aPrakash$b Kolla Bhanu 702 $aKanagachidambaresan$b G. R. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910483166903321 996 $aProgramming with TensorFlow$92851522 997 $aUNINA