• Convolutional Neural Networks In Python

  • Beginner's Guide to Convolutional Neural Networks in Python
  • By: Frank Millstein
  • Narrated by: Jon Wilkins
  • Length: 2 hrs and 10 mins
  • Unabridged Audiobook
  • Release date: 03-27-18
  • Language: English
  • Publisher: Frank Millstein
  • 5 out of 5 stars (68 ratings)

Regular price: $6.95

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Publisher's Summary

This audiobook covers the basics behind convolutional neural networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy-to-understand way. It is perfect for any beginner out there looking forward to learning more about this machine learning field.

This audiobook is all about how to use convolutional neural networks for various image, object, and other common classification problems in Python. Here, we also take a deeper look into various Keras layer used for building CNNs; we take a look at different activation functions and much more, which will eventually lead you to creating highly accurate models able of performing great task results on various image classification, object classification, and other problems.

Here is a preview of what you'll learn in this audiobook....

  • Convolutional neural networks structure
  • How convolutional neural networks actually work
  • Convolutional neural networks applications
  • The importance of convolution operator
  • Different convolutional neural networks layers and their importance
  • Arrangement of spatial parameters
  • How and when to use stride and zero-padding
  • Method of parameter sharing
  • Matrix multiplication and its importance
  • Pooling and dense layers
  • Introducing non-linearity relu activation function
  • How to train your convolutional neural network models using backpropagation
  • How and why to apply dropout
  • CNN model training process
  • How to build a convolutional neural network
  • Generating predictions and calculating loss functions
  • How to train and evaluate your MNIST classifier
  • How to build a simple image classification CNN
  • And much, much more!
©2018 Frank Millstein (P)2018 Frank Millstein

What members say

Average Customer Ratings

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  • 5 out of 5 stars
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  • Overall
    5 out of 5 stars
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    4 out of 5 stars

effectie

This book is a guide on how to implement a neural network in the Python programming language. As mentioned before, a simple convolutional layer in a sequence of layers where every contained layer of convolutional neural networks transforms a single volume of activations to another layer through a differentiable function

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    5 out of 5 stars
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valuable


This is an extremely accommodating and helpful book for the beginner's.From this book you will find out about how convolutional neural systems really work,the significance of convolution administrator and much more.I trust you should discover this book valuable.

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interesting

Great, I don’t have to get many books as this book’. I’m having a hard time with the convolutional neural network. Glad to know that the author has simplified it in every way that he can.

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    5 out of 5 stars
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love it

Got a good bundle right here! The information are laid out simply, so my mind didn’t have any trouble digesting them.

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    5 out of 5 stars
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practical focus

This is the best Deep Learning book I have ever listen. An excellent resource on deep learning from first principles to research. I really enjoy the strong practical focus.

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    5 out of 5 stars
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best guide

this book is all about how to use convolution neural networks for various image, object and other common classification problems in Python. Overall, I'd like to recommended this guidebook for the beginners.

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    5 out of 5 stars
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    5 out of 5 stars
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    5 out of 5 stars

helpful book

This book explained the basics behind Convolutional Neural Networks by introducing you to this complex world of deep learning and artificial neural networks in a simple and easy to understand way.

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    5 out of 5 stars
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useful book

it will be a good guide book for the beginners. Here describe all things so easily and its easy to understand. People can apply it.

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informative book

That is really a good book. I read this book and i can learn so many things about Convolution Neural Networks. The author writes the whole basic things, rules and so many important tips.

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    5 out of 5 stars
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Good to listen

I actually really enjoyed this book. It is great for beginners. A good practical introduction to Neural networks. A nice clear, concise description of how neural networks behave, with a good example.

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  • mala
  • 04-18-18

moe understanding

This book has been explained in layman's terms as an introduction to neural networks and their algorithms. Each algorithm is explained very easily for more understanding

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    5 out of 5 stars
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  • vani
  • 04-10-18

simple undrstand

This book is short but to the point and the author tried to keep it simple and easy to understand.

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    5 out of 5 stars
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  • Ajmal
  • 04-09-18

well narrated

Well narrated, the subject matter is clearly complex but I fully understand all of it (I’m being generous to myself there) it’s about the best balance I could have hoped for on such a mind-blowing set of chapters. I need a lie-down.

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    5 out of 5 stars
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    5 out of 5 stars
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  • Jamsheer
  • 04-09-18

Must listen to this book

The book was amazing and Will did a great job listening to it :)
I want to listen to this book.

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    5 out of 5 stars
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  • Ola
  • 04-09-18

Excellent book

I've been listening to my book on Audible and have to pause at times to take notes, then replay it to make sure I absorb the information again. It's just that good.

  • Overall
    5 out of 5 stars
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    5 out of 5 stars
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  • Emilio
  • 04-09-18

Inspiring book

Inspiring, engaging and very interesting. Excellent narrative uses data and information from a variety of sources to make objective points.

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    5 out of 5 stars
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  • Abu
  • 04-09-18

Wonderful book

Wonderful book! This kept my interest from beginning to end. Would love to see more from this author.

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    5 out of 5 stars
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    4 out of 5 stars
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  • fairy
  • 04-05-18

i realized it

I realized that there are so many things that I didn’t know. It helped that it presented a wonderful visual despite the heavy concept.

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    5 out of 5 stars
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    4 out of 5 stars
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  • marrani
  • 04-05-18

test it

I was very excited listening this book, everything was explained in a clear way until... the chapter of writing the code for the neural network. The problem is that the end is very abrupt! Supposedly you train the network but you can't really see much or test it. I would love this book if it gets a little more deeper in showing how the network works! Like, see it and test it!

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    5 out of 5 stars
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  • femi
  • 04-05-18

great intro

The book is a good introduction.Explains step by step, using both illustrations and maths, how neural networks are built up and tuned. Excellent read for anyone interested in the inner workings of neural networks.