Fundamentals of Deep Learning PDF
By:Nikhil Buduma,Nicholas Locascio
Published on 2017-05-25 by |O'Reilly Media, Inc.|
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
This Book was ranked at 22 by Google Books for keyword Fundamentals.
Book ID of Fundamentals of Deep Learning's Books is n0IlDwAAQBAJ, Book which was written byNikhil Buduma,Nicholas Locasciohave ETAG "DX02IPR6F10"
Book which was published by |O'Reilly Media, Inc.| since 2017-05-25 have ISBNs, ISBN 13 Code is 9781491925560 and ISBN 10 Code is 1491925566
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Download Fundamentals of Deep Learning PDF
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