Fundamentals of deep learning : designing next-generation machine intelligence algorithms /

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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...

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Weitere Titel:
Designing next-generation machine intelligence algorithms
1. Verfasser:
Buduma, Nikhil
Weitere Verfasser:
Locascio, Nicholas (MitwirkendeR)
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Beijing, [China] : O'Reilly, 2017.
Ausgabe:
First edition.
Zusammenfassung:
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 Understand the fundamentals of reinforcement learning
Umfang:
1 online resource (298 pages) : illustrations
text file
Anmerkungen:
Includes index.
Bibliografie:
Includes bibliographical references at the end of each chapters and index.
ISBN:
9781491925607
1491925604
9781491925560
1491925566
9781491925584
1491925582
Schlagworte:
Artificial intelligence.
Machine learning.
Neural networks (Computer science)
Bezugswerke:
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