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Convolutional Neural Networks in Python Audiobook

Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks

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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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    dylan 10-10-17
    dylan 10-10-17
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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 0 people found this review helpful
  •  
    Olivia 10-10-17
    Olivia 10-10-17
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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 0 people found this review helpful
  •  
    Hannah 10-10-17
    Hannah 10-10-17
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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 0 people found this review helpful
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    NabilaBarry 10-10-17
    NabilaBarry 10-10-17
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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.

    0 of 0 people found this review helpful
  •  
    talithabenjamin 10-09-17
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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 0 people found this review helpful
  •  
    ZIYA 10-09-17
    ZIYA 10-09-17
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    "Highly recommend it."

    A very light way to introduce yourself to the fundamental practical understanding of why Neural Nets work without jargons. A big bonus is the layman overview of what Calculus is for non-technical people.

    0 of 0 people found this review helpful
  •  
    sharmila 10-09-17
    sharmila 10-09-17
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    "Good information"

    This book is a great primer on working with Data Science and Machine learning. Its an added plus that the author also teaches a class with this material so the student can get a better understanding of the subject. I would recommend also checking out the links he mentions through the text to help reinforce the material. I'm looking further to more of the authors work in the future.

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    patrick 10-09-17
    patrick 10-09-17
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    "Decent"

    Good book for a beginner.
    And that's what matters. Being able to break into this dark science.
    Making it accessible
    No need for thick math formulas etc., just intuitive understanding

    0 of 0 people found this review helpful
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    shireen 10-08-17
    shireen 10-08-17
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    "Informative great book."

    I am impressed with it Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrences is vital as well as when events occur more than once

    0 of 0 people found this review helpful
  •  
    Riswana 10-08-17
    Riswana 10-08-17
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    "AWESOME BOOK.. Five star.."

    I bought this book for my sister since she wants to know more about convolutional nuetral networks. I found this book awesome to read. I will surely share this book to everyone!

    0 of 0 people found this review helpful

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