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Deep Learning Essentials

You're reading from   Deep Learning Essentials Your hands-on guide to the fundamentals of deep learning and neural network modeling

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781785880360
Length 284 pages
Edition 1st Edition
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Authors (3):
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Wei Di Wei Di
Author Profile Icon Wei Di
Wei Di
Anurag Bhardwaj Anurag Bhardwaj
Author Profile Icon Anurag Bhardwaj
Anurag Bhardwaj
Jianing Wei Jianing Wei
Author Profile Icon Jianing Wei
Jianing Wei
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Table of Contents (12) Chapters Close

Preface 1. Why Deep Learning? FREE CHAPTER 2. Getting Yourself Ready for Deep Learning 3. Getting Started with Neural Networks 4. Deep Learning in Computer Vision 5. NLP - Vector Representation 6. Advanced Natural Language Processing 7. Multimodality 8. Deep Reinforcement Learning 9. Deep Learning Hacks 10. Deep Learning Trends 11. Other Books You May Enjoy

What is multimodality learning?

Before we dive deeper, the first question to ask is, what is multimodality/multimodal?

Modality refers to a certain type of information and/or the representation format in which information is stored. For example, humans have various sensory modalities, such as light, sound, and pressure. In our case, we are talking more about how the data is acquired and stored. For example, commonly available modalities include natural language (both spoken or written), visual information (from images or videos), audio (including voice, sounds, and music), Light Detection and Ranging (LIDAR) data, depth images, infrared images, functional MRI and physiological signals, electrocardiogram (ECG), and so on.

The path of leveraging multiple data sources for creating real-world applications is more of a need rather than choice, as in reality, dealing with multimodal...

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