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Convolutional Neural Networks In Python

Beginner's Guide to Convolutional Neural Networks in Python
Narrated by: Jon Wilkins
Length: 2 hrs and 10 mins
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

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    5 out of 5 stars
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    5 out of 5 stars

excellent book!

By doing or making this type of audio book author bring a revolutionary thinking point in audio book in programming system. I am just amazed how narrator describe this precisely.

1 of 1 people found this review helpful

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    2 out of 5 stars
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    3 out of 5 stars

Unexplained jargon and severe mispronunciation

I am probably the target audience for this book, having both a stat/ML background and an engineering background. This audiobook is simply impossible to use. The narrator clearly doesn't understand the subject matter, as shown by the constant mispronunciations and bizarre sentence inflections. Important acronyms go undefined, making it impossible to follow within minutes of the start.

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best book!!

It is important to learn about machine language. But machine language with python is also very important to modern era.

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nice book!!

Its very rare that we heard ther have any audible book for learning python machine learning. Its an new era for programming world. Appreciating content.

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best author's book!

I would say this book is ideal for anyone who knows some Machine Learning basics and has experience with Python, but it's also a great book for beginners who want to learn about practical ML problems.

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best helpful book!!

Hi Listeners, This book speaks about growth hacking. This is a great informative book, It will defiantly helpful for all the peoples.

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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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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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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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  • Arshi
  • 10-01-18

amazing guide

All instructions and recommendations are very detailed, clear, effective and helpful. I liked this book very much and I would recommend it for those in need of this type of information.

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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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  • 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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  • 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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  • 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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  • Lemmy
  • 04-03-18

very important


A really important reference material on Deep Learning, covering the foundations, and moreover offering an investigate the further research regions.Good book!!