Machine Learning: Neural Networks - Understand How Neural Networks Work & Deep Learning - A Sensible Guide Presenting the Concepts Audiolibro Por Matthew Harper arte de portada

Machine Learning: Neural Networks - Understand How Neural Networks Work & Deep Learning - A Sensible Guide Presenting the Concepts

Machine Learning Series, Volume 3

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Machine Learning: Neural Networks - Understand How Neural Networks Work & Deep Learning - A Sensible Guide Presenting the Concepts

De: Matthew Harper
Narrado por: Matyas J
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This bundle includes two audiobooks: Neural Networks and Deep Learning!

Audiobook one: Neural Networks: Step-by-Step | Understand How Neural Networks Work, Starting with Simple Ideas. Machines are observing your habits, learning your patterns, and adjusting their behavior accordingly. Understand the concepts behind this amazing technology, step-by-step.

A machine capable of learning is already here; it is real, and it is exciting. Many may not be aware of it, but it already plays an important role in our lives in many ways. Ever wonder how all those lists of websites can come up so quickly when you do a Google search? What about how Amazon knows exactly what to recommend to you every time you visit their website? And what about how Netflix can choose a list of shows that suit your taste perfectly?

How these computers are capable of doing all of these things is the subject of this audiobook. Using this audiobook as a guide, we’ll come to understand how the art of neural networks has made it possible for computer science to turn in a whole new direction, opening the doors to an amazing new era of technology.

Even as a novice in this industry, you will understand the basics of what neural networks are, how they work, and the many tasks you can apply them to, including:

  • Algorithms and how they work
  • The concepts behind neural networks
  • The basic architecture of a neural network
  • The different technical aspects of these programs
  • The different types of neural networks

Audiobook two: Deep Learning: Step-by-Step | A Sensible Guide Presenting the Concepts of Deep Learning with Real-World Examples.

Have you ever wondered how large corporations like Amazon, Google, Facebook, and Twitter know so much about you? How do the same advertisements keep showing up wherever you go? Ever used Google Translate to communicate with someone who didn’t speak your language? The reality is that deep learning and its predecessor, machine learning, has had a hand with all of it.

Matthew Harper is the author of the Machine Learning series and an entrepreneur. Having a master’s degree in engineering allows him to write both from experience and expertise. He has built an intelligent machine himself and brings his knowledge to you in an educational way.

This audiobook will explain to you in simple layman’s terms the basic foundation and concept of deep learning and how it works, including:

  • How deep learning came about and the basic concept behind it
  • The different aspects of deep learning
  • The different types of machine learning and what they are used for
  • Basic understanding of how it works
  • Several applications of the technology already in use today
  • What the future holds for you and deep learning
©2018 Matthew Harper (P)2018 Matthew Harper
Educación Aprendizaje automático Ciencia de datos Inteligencia artificial
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Lo que los oyentes dicen sobre Machine Learning: Neural Networks - Understand How Neural Networks Work & Deep Learning - A Sensible Guide Presenting the Concepts

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Poor choice on many fronts

Story: So consistently obtuse that one learns little, otherwise flow is choppy, and veers from unexplained formulas to statements of formal processes, terms with few explanations or statements of context.

Narrator. Robotic expressiveness is better suited for children's books, and even in that context would seem unnatural/forced. Frequent mispronunciations: "combyooder" (comupter), "nucyooler" (nuclear). Obviously misses reading words mid-sentence.
Intonation is confusing: frequently emphasizes the wrong words; unexpected mid-sentence pauses incorrectly implies the end of a sentence; nearly every sentence concludes with the last word pronounced with abnormal speed.

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