Programming with TensorFlow: solution for edge computing applications

by Kanagachidambaresan, G. R. Prakash, Kolla Bhanu

Type Book

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Title Statements

Full title :Programming with TensorFlow : solution for edge computing applications / Kolla Bhanu Prakash, G.R. Kanagachidambaresan, editors.

Summary

This 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.

Edition Statements

Publication Date:2021

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:2021

The Physical Object

Description:1 online resource (190 pages)

Edition Identifiers

ISBN:9783030570774, 3030570770
DOI:10.1007/978-3-030-57077-4
oclc:on1235593735
LC Classification:QA76.87
Dewey Decimal:006.3/2

Introduction -- 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.

Subjects

Apprentissage automatique Computational Intelligence Image processing Intelligence informatique Machine learning Neural networks (Computer science) Neural Networks, Computer Programming languages (Electronic compu… Python (Computer program language) Python (Langage de programmation) Réseaux neuronaux (Informatique) Signal processing Speech processing systems TensorFlow Traitement automatique de la parole Traitement d'images Traitement du signal