• 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 5.0 (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
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Customer Reviews

Most Helpful
5 out of 5 stars
By abu on 06-07-18

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
By Anonymous User on 06-07-18

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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Customer Reviews

Most Helpful
5 out of 5 stars
By mala on 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
By vani on 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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