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Convolutional Neural Networks in Python

Introduction to Convolutional Neural Networks
Sprecher: William Bahl
Spieldauer: 1 Std. und 43 Min.

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Inhaltsangabe

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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