• 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 (40 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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clear guide


Informative, clear and very interesting. great for self study. I would definitely recommend this book to anybody interested

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Perfect for beginners

Any additional comments?

It will take you some time to get used to all of the technical jargon that is in here - especially when it comes to math. There are many difficult concepts to understand, though it becomes easier using the text itself to decipher.

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this is a fantastic place to start your journey

Any additional comments?

For anyone who is interested in neural networks or how it can benefit your everyday life, you should definitely follow this book, I think you are glad you did.

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a lot of valuable information.

Any additional comments?

This is a great book for beginners, teaches the fundamentals of neural networks very well. The author uses standard python libraries and breaks it down so almost any novice can follow. This guide on neural networks is cool and listener-friendly.

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for beginner computer scientists

Any additional comments?

I found the book informative, engaging and interesting and while presently, I do not have any intention of making a neural network, I am definitely much more aware on how it works and might just engage in making one of my own in some time

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Make Your Own Neural Network

Any additional comments?

Really understand how neural networks operate…..Explains step by step, using both illustrations and math’s, how neural networks are built up and tuned. Excellent read for anyone interested in the inner workings of neural networks.

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super helpful and will guide you on your way…

Any additional comments?

A book that is helpful for beginners just starting out as well as programmers who are looking to refresh their knowledge, this guide covers all the bases. From the beginning stages to Python libraries and everything in between, this guide is super helpful and will guide you on your way. Highly recommend.

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The book is a good introduction

Any additional comments?

To accomplish your dream, you have to be aware right from the start that the road is not going to be easy, especially when you don’t know how to walk through it. This is my vision about this book; basically it helps you to learn how to walk.

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Scratch a neural network for the beginners.

Any additional comments?

This Might Be the Book for You... The way it’s written you can jump around a little bit, but if you aren’t familiar with all the terminology it’s best to read through then go back and jump through because he introduces new terms throughout the book. I’d definitely recommend this to anyone new to the concept of neuro networking.

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TRENDY

I would also like to thank author for sharing his knowledge on advanced neural networks, which is trending.

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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.

  • Overall
    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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  • 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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    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.

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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
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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.

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

  • Overall
    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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    4 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.