Neural Networks: Step-by-Step

Understand How Neural Networks Work, Starting with Simple Ideas (Machine Learning Series, Volume 1)

De: Matthew Harper

Narrado por: Matyas J.

Duración: 1 h y 49 m

Resumen del Editor

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?

A machine capable of learning is already here; it is real, and it is exciting. Many may not be aware of it, but it is already an important role in our lives in many ways. How these computers are capable of doing all 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.

Throughout this audiobook, you’ll learn:

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

Even as a novice in this industry, you’ll understand the basics of what neural networks are, how they work, and the many tasks to which you can apply them.

You’ll also learn how they are already used today in our lives and what we can expect to see in the very near future. We’re sure that by the time you reach the end of this audiobook, you’ll be full of ideas and fired up to learn even more in the future.

©2018 Matthew Harper (P)2018 Matthew Harper

Very poor overview of Neural Networks

I'm shocked that this book has a few top ratings. It does not offer explanations of neural networks at all, just illustrations of what they are used for. It makes misleading statements that will enlighten no one. At the same time, the reader has weird pauses, mispronunciations and just a very odd pacing and style. For a real explanation, try "The Master Algorithm"--I'm off to re-listen to that one.