Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks (2nd Edition)

Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks (2nd Edition)

<h1><strong>Convolutional Neural Networks in Python (2nd Edition)</strong></h1><br /><p><br /><strong>Deep learning</strong> 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 <strong>deep learning</strong> in comparison to traditional methods. At this point, you are also familiar with types of <strong>neural networks</strong> and their wide range of applications including image and speech recognition, <strong>natural language processing</strong>, <strong>video game development</strong> and other. On the other hand, this book is all about <strong>convolutional neural networks</strong> and how to use these <strong>neural networks</strong> in various tasks of <strong>automatic image and speech recognition</strong> in <strong>Python</strong>. You will also get a better insight into the architecture of <strong>convolutional layers</strong> as we are going deeper into this subject. <strong>Deep learning</strong> is pretty complex subject, but since you already have a fundamental knowledge of this topic, getting to know convolutional <strong>neural networks</strong> better is next logical step. </p><br /><p><strong>What you will learn in Convolutional Neural Networks in Python:</strong></p><br /><ul><br /><li>Architecture of convolutional neural networks</li><br /><li>Solving computer vision tasks using convolutional neural networks</li><br /><li>Python and computer vision</li><br /><li>Automatic image and speech recognition</li><br /><li>Theano and TenroeFlow image recognition</li><br /><li>How to use MNIST vision dataset</li><br /><li>What are commonly used convolutional filters</li><br /></ul><br /><h1><strong>Download this book today and learn more about Convolutional Neural Networks in Python!</strong><strong>!</strong></h1><br /><h2><em>PS: Get the Paperback and get this Ebook for <strong>FREE</strong>!!</em></h2><br />