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You're reading from TensorFlow Deep Learning Projects 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

Product type Paperback

Published in Mar 2018

Publisher Packt

ISBN-13 9781788398060

Length 320 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Chatbots

Authors (5):

Alberto Boschetti

Rajalingappaa Shanmugamani

Luca Massaron

Abhishek Thakur

Alexey Grigorev

+1 more

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Table of Contents (12) Chapters

Preface

1. Recognizing traffic signs using Convnets

2. Annotating Images with Object Detection API FREE CHAPTER

3. Caption Generation for Images

4. Building GANs for Conditional Image Creation

5. Stock Price Prediction with LSTM

6. Create and Train Machine Translation Systems

7. Train and Set up a Chatbot, Able to Discuss Like a Human

8. Detecting Duplicate Quora Questions

9. Building a TensorFlow Recommender System

10. Video Games by Reinforcement Learning

11. Other Books You May Enjoy

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Resorting to Amazon Web Service

As previously noticed, it is warmly suggested you use a GPU in order to train the examples proposed in this chapter. Managing to obtain results in a reasonable time using just a CPU is indeed impossible, and also using a GPU may turn into quite long hours waiting for the computer to complete the training. A solution, requiring the payment of a fee, could be to resort to Amazon Elastic Compute Cloud, also known as Amazon EC2 (https://aws.amazon.com/it/ec2/), part of the Amazon Web Services (AWS). On EC2 you can launch virtual servers that you can control from your computer using the Internet connection. You can require servers with powerful GPUs on EC2 and make your life with TensorFlow projects much easier.

Amazon EC2 is not the only cloud service around. We have suggested you this service because it is the one we used in order to test the code...

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Authors (2)

Shanmugamani

Rajalingappaa Shanmugamani is currently working as an Engineering Manager for a Deep learning team at Kairos. Previously, he worked as a Senior Machine Learning Developer at SAP, Singapore and worked at various startups in developing machine learning products. He has a Masters from Indian Institute of TechnologyMadras. He has published articles in peer-reviewed journals and conferences and submitted applications for several patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.

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Alexey Grigorev

Alexey Grigorev is a skilled data scientist, machine learning engineer, and software developer with more than 8 years of professional experience. He started his career as a Java developer working at a number of large and small companies, but after a while he switched to data science. Right now, Alexey works as a data scientist at Simplaex, where, in his day-to-day job, he actively uses Java and Python for data cleaning, data analysis, and modeling. His areas of expertise are machine learning and text mining.

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