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Intelligent Projects Using Python

You're reading from   Intelligent Projects Using Python 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788996921
Length 342 pages
Edition 1st Edition
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Author (1):
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Santanu Pattanayak Santanu Pattanayak
Author Profile Icon Santanu Pattanayak
Santanu Pattanayak
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Table of Contents (12) Chapters Close

Preface 1. Foundations of Artificial Intelligence Based Systems FREE CHAPTER 2. Transfer Learning 3. Neural Machine Translation 4. Style Transfer in Fashion Industry using GANs 5. Video Captioning Application 6. The Intelligent Recommender System 7. Mobile App for Movie Review Sentiment Analysis 8. Conversational AI Chatbots for Customer Service 9. Autonomous Self-Driving Car Through Reinforcement Learning 10. CAPTCHA from a Deep-Learning Perspective 11. Other Books You May Enjoy

Data for the video-captioning system

We build the video-captioning system by training the model on the MSVD dataset—a pre captioned YouTube video repository from Microsoft. The required data can be downloaded from the following link: http://www.cs.utexas.edu/users/ml/clamp/videoDescription/YouTubeClips.tar. The text captions for the videos are available at the following link: https://github.com/jazzsaxmafia/video_to_sequence/files/387979/video_corpus.csv.zip.

There are around 1,938 videos in the MSVD dataset. We will use these to train the sequence-to- sequence video-captioning system. Also note that we would be building the model on the sequence to sequence model illustrated in Figure 5.3. However readers are advised to try and train a model on the architecture presented in Figure 5.4 and see how it fares.

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