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Python Deep Learning Projects

You're reading from   Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788997096
Length 472 pages
Edition 1st Edition
Languages
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Authors (3):
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Rahul Kumar Rahul Kumar
Author Profile Icon Rahul Kumar
Rahul Kumar
Matthew Lamons Matthew Lamons
Author Profile Icon Matthew Lamons
Matthew Lamons
Abhishek Nagaraja Abhishek Nagaraja
Author Profile Icon Abhishek Nagaraja
Abhishek Nagaraja
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Toc

Table of Contents (17) Chapters Close

Preface 1. Building Deep Learning Environments FREE CHAPTER 2. Training NN for Prediction Using Regression 3. Word Representation Using word2vec 4. Building an NLP Pipeline for Building Chatbots 5. Sequence-to-Sequence Models for Building Chatbots 6. Generative Language Model for Content Creation 7. Building Speech Recognition with DeepSpeech2 8. Handwritten Digits Classification Using ConvNets 9. Object Detection Using OpenCV and TensorFlow 10. Building Face Recognition Using FaceNet 11. Automated Image Captioning 12. Pose Estimation on 3D models Using ConvNets 13. Image Translation Using GANs for Style Transfer 14. Develop an Autonomous Agent with Deep R Learning 15. Summary and Next Steps in Your Deep Learning Career 16. Other Books You May Enjoy

Automated Image Captioning

In the previous chapter, we learned about building an object detection and classification model, which was really exciting. But in this chapter, we are going to do something even more impressive by combining current state-of-the-art techniques in both computer vision and natural language processing to form a complete image description approach (https://www.cs.cmu.edu/~afarhadi/papers/sentence.pdf). This will be responsible for constructing computer-generated natural descriptions of any provided images.

Our team has been asked to build this model to generate natural language descriptions of images to be used as the core intelligence of a company that wants to help the visually impaired take advantage of the explosion of photo sharing that's done on the web. It's exciting to think that this deep learning technology could have the power to effectively...

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