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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

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788398060
Length 320 pages
Edition 1st Edition
Languages
Concepts
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Authors (5):
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Alberto Boschetti Alberto Boschetti
Author Profile Icon Alberto Boschetti
Alberto Boschetti
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Abhishek Thakur Abhishek Thakur
Author Profile Icon Abhishek Thakur
Abhishek Thakur
Alexey Grigorev Alexey Grigorev
Author Profile Icon Alexey Grigorev
Alexey Grigorev
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Toc

Table of Contents (12) Chapters Close

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 11. Other Books You May Enjoy

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...

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