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Publisher's Summary

Deep learning has been a great part of various scientific fields and since this is my third book regarding this topic, you already know the great significance of deep learning in comparison to traditional methods. At this point, you are also familiar with types of neural networks and their wide range of applications including image and speech recognition, natural language processing, video game development, and others. This book is all about convolutional neural networks and how to use these neural networks in various tasks of automatic image and speech recognition in Python.

You will also get a better insight into the architecture of convolutional layers as we are going deeper into this subject. Deep learning is pretty complex subject, but since you already have a fundamental knowledge of this topic, getting to know convolutional neural networks better is the next logical step.

What you will learn in Convolutional Neural Networks in Python:

  • Architecture of convolutional neural networks
  • Solving computer vision tasks using convolutional neural networks
  • Python and computer vision
  • Automatic image and speech recognition
  • Theano and TensorFlow image recognition
  • How to use MNIST vision dataset
  • What are commonly used convolutional filters

Get this book today and learn more about convolutional neural networks in Python!

©2017 Anthony Williams (P)2017 Anthony Williams

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Excellent overview

This is an excellent overview to the complex world of machine learning. I was able to get a beginners understanding of the process well as I learned of this through the audio book. Great overall for helping with a tough knowledge to gain.

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Great intro to neural networks!

Discusses in clear terms the methods (error correction, connection strength, etc.) and the mathematical reasons for those methods without overwhelming. Very well written, step by step, for such a complex subject. Well done !

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Appreciate it.

Appreciate this audio book. It has aided me in understanding the frustrating parts in machine learning. I’m confident that I’ll be able to master the technical materials of the said subject in no time!

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AMAZING BOOK

This book is a guide on how to implement a neural network in the Python programming language.The author clearly is very well informed about neural networks and does a good job of explaining what makes them tick.Found this book a great way to start.

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Thanks for the good read!

I was very impressed by this book because I find the information very new and exciting to me. I don't have much information about neural networks but I learned a great deal from this book. Thanks to the author!

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This book is amazing

This book guided me so as to understand what convolutional neural network programming is. The concept in what makes neural networks behave in the same manner as the brain of human beings. Reading this book spark a new learning for me and I'm excited to dive deeper to learn this topic more.

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Would Recommend! 5/5

Great read. Doesn't go super heavy on the math to the extent you need a mathematician in the vicinity. The illustrations help with complex topics. My only gripe is I didn't read the dimensions, this book is huge! Worth every square inch however! Great intro to Neural Networks without skipping over essential details. Great code examples as well to allow you to be hands one.

0 of 1 people found this review helpful

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Best instructional book on neural networks

This book is the best and clearest one I have ever read on neural networks until now. Thank you Mr. Anthony Williams excellent intro for complete newbie or someone with vague experience in comp sci. will look at author's otber books. highly recommended.

0 of 1 people found this review helpful

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I'm getting the hang of it. Thanks to this.

This updated and expanded edition of python machine learning is a must have for every person involved with practical machine learning. The book not only presents a very well thought overview of a wide range of machine learning algorithms, but also shows the best practices when it comes to getting the most out of machine learning models.

0 of 1 people found this review helpful

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Well written, does what it claims.

The author did a very competent job of breaking down a quite difficult subject to make it approachable by everyone, yet left enough meat on the bone for advanced readers to take their next steps.

0 of 1 people found this review helpful