Programming with TensorFlow : Solution for Edge Computing Applications /

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...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Prakash, Kolla Bhanu (Editor), Kanagachidambaresan, G. R. (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	EAI/Springer Innovations in Communication and Computing,
Subjects:	Signal processing. Image processing. Speech processing systems. Machine learning. Computational intelligence. Programming languages (Electronic computers). Signal, Image and Speech Processing. Machine Learning. Computational Intelligence. Programming Languages, Compilers, Interpreters. Electronic books.
Online Access:	Connect to the full text of this electronic book

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 and Implementation
Placeholder Concept and Implementation
Equation with Tensor
Matplot
Regression Model
Neural Network
Convolutional Neural Network
Recurrent Neural Network
Application of Machine Learning and Deep Learning
Implementing Chatbots
Working with Text and Sequences + TensorBoard visualization
TensorFlow Autoencoders
Advanced TensorFlow Programming
Reinforcement Learning
RNN and LSTM using Keras
Deep Learning with Pytorch
Conclusion.