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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

Getting Yourself Ready for Deep Learning

Due to recent achievements of Artificial Neural Networks (ANNs) in different applications of artificial intelligence (AI), such as computer vision, natural language processing (NLP) and speech recognition, deep learning has emerged as the prominent technology fundamental to most real-world implementations. This chapter aims to be a starting point on how to set oneself up for experimenting with and applying deep learning techniques in the real world.

We will answer the key question as to what skills and concepts are needed to get started with deep learning. We will specifically answer following questions:

  • What skills are needed to understand and get started with deep learning?
  • What are the core concepts from linear algebra that are required for deep learning?
  • What hardware requirements exist for practical implementations of deep learning...
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