Restricted Boltzmann Machine: Fundamentals and Applications for Unlocking the Hidden Layers of Artificial Intelligence
About this ebook
A restricted Boltzmann machine, often known as an RBM, is an example of an artificial neural network that is stochastic and generative and has the ability to develop a probability distribution over its own set of inputs.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Restricted Boltzmann Machine
Chapter 2: Boltzmann Distribution
Chapter 3: Entropy (Information Theory)
Chapter 4: Unsupervised Learning
Chapter 5: Mutual Information
Chapter 6: Boltzmann Machine
Chapter 7: Cross Entropy
Chapter 8: Softmax Function
Chapter 9: Autoencoder
Chapter 10: Deep Belief Network
(II) Answering the public top questions about restricted boltzmann machine.
(III) Real world examples for the usage of restricted boltzmann machine in many fields.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of restricted boltzmann machine.
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The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
