Programming with TensorFlow : solution for edge computing applications / Kolla Bhanu Prakash, G.R. Kanagachidambaresan, editors.
2021
QA76.87
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Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Programming with TensorFlow : solution for edge computing applications / Kolla Bhanu Prakash, G.R. Kanagachidambaresan, editors.
ISBN
9783030570774 (electronic bk.)
3030570770 (electronic bk.)
9783030570767
3030570770 (electronic bk.)
9783030570767
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (190 pages)
Other Standard Identifiers
10.1007/978-3-030-57077-4 doi
Call Number
QA76.87
Dewey Decimal Classification
006.3/2
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.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Description based on print version record.
Series
EAI/Springer innovations in communication and computing.
Available in Other Form
Programming with TensorFlow.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
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Table of Contents
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.
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.