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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 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

Creating the training dataset

Let's now create the training set for the chatbot. We'd need all the conversations between the characters in the correct order: fortunately, the corpora contains more than what we actually need. For creating the dataset, we will start by downloading the zip archive, if it's not already on disk. We'll then decompress the archive in a temporary folder (if you're using Windows, that should be C:\Temp), and we will read just the movie_lines.txt and the movie_conversations.txt files, the ones we really need to create a dataset of consecutive utterances.

Let's now go step by step, creating multiple functions, one for each step, in the file corpora_downloader.py. The first function we need is to retrieve the file from the Internet, if not available on disk.

def download_and_decompress(url, storage_path, storage_dir):
import...
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