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
Other Authors: Prakash, Kolla Bhanu (Editor), Kanagachidambaresan, G. R. (Editor)
Format: eBook
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:EAI/Springer Innovations in Communication and Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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