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TensorFlow Deep Learning Projects

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 (2):

Shanmugamani

Alexey Grigorev

View More author details

Table of Contents (16) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Recognizing traffic signs using Convnets FREE CHAPTER

2. Annotating Images with Object Detection API

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

1. Other Books You May Enjoy

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Index

Exploring image captioning datasets

Several datasets are available for captioning image task. The datasets are usually prepared by showing an image to a few persons and asking them to write a sentence each about the image. Through this method, several captions are generated for the same image. Having multiple options of captions helps in better generalization. The difficulty lies in the ranking of model performance. For each generation, preferably, a human has to evaluate the caption. Automatic evaluation is difficult for this task. Let's explore the Flickr8 dataset.

Downloading the dataset

Flickr8 is gathered from Flickr and is not permitted for commercial usage. Download the Flickr8 dataset from https://forms.illinois.edu/sec/1713398. The descriptions can be found at http://nlp.cs.illinois.edu/HockenmaierGroup/8k-pictures.html. Download the text and images separately. Access to it can be obtained by filling in a form shown on the page:

An email will be sent with the download link. Once downloaded...

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Authors (2)

Shanmugamani

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.

See other products by Shanmugamani

Alexey Grigorev

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.

See other products by Alexey Grigorev

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