• Neural Networks: Neural Networks Tools and Techniques for Beginners

  • De: John Slavio
  • Narrado por: Russell Archey
  • Duración: 2 h y 2 m
  • 3.6 out of 5 stars (11 calificaciones)

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Neural Networks: Neural Networks Tools and Techniques for Beginners

De: John Slavio
Narrado por: Russell Archey
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Resumen del Editor

Are you looking to get a better understanding of neural networks and their applications?

Neural networks are used to model complex patterns for prediction and simulation. They use the processing pattern used by brain neurons to achieve this. Neural networks are good at processing complex, nonlinear relationships and are used in forecasting, image processing, and character recognition.

Here's what's included in this audiobook:

  • What are artificial neural networks?
  • Fundamentals of neural networks
  • Activation paradigms
  • Learning paradigms
  • Multilayer perceptron
  • Practical application - text recognition
  • Practical application - image processing
  • Problems with neural networks

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©2018 Kumar (P)2018 Kumar

Lo que los oyentes dicen sobre Neural Networks: Neural Networks Tools and Techniques for Beginners

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  • Total
    5 out of 5 stars
  • Ejecución
    5 out of 5 stars
  • Historia
    5 out of 5 stars

The Brain is so Fascinating!

The brain is so fascinating and we know so little about it! I loved listening to this book, learning more about the complex human brain!

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  • Total
    3 out of 5 stars
  • Ejecución
    5 out of 5 stars
  • Historia
    3 out of 5 stars

Good content, but short

I felt like this audio book was a good introduction to the topic, but I found it to be too short to give me a real feel for it. The narration was well done and it was well written, I just really wish it could have been a few more house in length.

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  • Total
    4 out of 5 stars
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    4 out of 5 stars
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    4 out of 5 stars

Neural Networks!

The tools and techniques of neural networks is incredibly amazing. Needs a lot of studies and learning but I can get through it! Nice audio book to start with.

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  • Total
    4 out of 5 stars
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    4 out of 5 stars

The techniques!

This is the beginner's guide to have about neural networks. The neural networks ,its fundamentals and practical applications are all here. I am impressed!

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  • Total
    4 out of 5 stars
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    3 out of 5 stars
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    4 out of 5 stars

Great for learning

Gives the basics of neural networks. Explained things fairly well wish there was a little more to it though.

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    5 out of 5 stars
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About the Neural Network

The dictionary states Neural Network as a computer system modeled on the human brain and nervous system. A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks can adapt to changing input so the network generates the best possible result without needing to redesign the output criteria.

Python the program is used for neural networks it has a simple concept that can be used as well as a most popular program for working with different algorithms.

Sometimes coding isn't easy. You use coding for many things. You are using different types of algorithms to create a neural network.

This book is a beginning to the concept of Neural Networks they are very complex with different type of coding. As I said it is a beginner book, but it has a wealth of information. I recommend the kindle book so you can see the coding.

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  • Total
    3 out of 5 stars
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    2 out of 5 stars

Great intro to what is a developing science.

The narrator talks about what neural network notes are and how they work.

He talks about python and java machines and which is the best to use. (Python is chosen to be the best learning language.)

He explains how the Alva rhythm and pathfinding variables work in video games and its codes, how fundamental neuro networks work and how the system figures out the results you are looking for. He gives you samples of different layers of neuro-networks and their equations.

He covers subjects such as network differences, activation functions on neuro networks, threshold functions and connections, and learning parodies

The two types of learning methods which are the supervise method which you design neuro-networks and the unsupervised method where you have a chance to change anything on your network.

Towards the end, he talks about practical application, text, and imaging processing. This is the type of book you may want to read, rather than listen to because of the equations and overall subject matter.

This is a rather new process so there are still many problems with the network. Keep in mind when listening that this subject is still in an experimental stage.
.

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  • Total
    5 out of 5 stars
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Interesting Guide!

The idea of neural networks has always peaked my interest. This guide was ideal for a novice like me. Introduces ideas and concepts that are easy to process and understand. Pleased I picked this guide up. Worth a listen!

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  • Total
    2 out of 5 stars
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    2 out of 5 stars

Not the type of book I like

This isn't the book I was expecting to hear. I struggled to listen to it.

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  • Total
    1 out of 5 stars

Stop reading code.

while the basic content is pretty good, the code samples are read inline and deter from the content. it would have been much better to just provide the code as a separate PDF and refer to the PDF. This is clearly a automated translation of a text.

if I had known that the code is read throughout the book, I would have saved myself some money. I hope others are able to learn from my mistake.

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