Boltzmann Machine
Boltzmann machine is a stochastic (probabilistic) recurrent neural network in which each of the nodes (neuron) are interconnected with each other by using the bidirectional link. The diagram is given in the notes. The relation is expressed as, y = f(z) = 1 / (1 + e -Z / T). where T = level of randomness.
Summary
Boltzmann machine is a stochastic (probabilistic) recurrent neural network in which each of the nodes (neuron) are interconnected with each other by using the bidirectional link. The diagram is given in the notes. The relation is expressed as, y = f(z) = 1 / (1 + e -Z / T). where T = level of randomness.
Things to Remember
- Boltzmann machine is a stochastic (probabilistic) recurrent neural network in which each of the nodes (neuron) are interconnected with each other by using the bidirectional link.
- The relation is expressed as, y = f(z) = 1 / (1 + e -Z / T)
- T = level of randomness
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Boltzmann Machine
Boltzmann Machine:
It is a stochastic (probabilistic) recurrent neural network in which each of the nodes (neuron) are interconnected with each other by using the bidirectional link.
where each of the nodes can be represented as,
where y = f(z) = 1 / (1 + e -Z / T).
where T = level of randomness.
References:
- Elaine Rich, Kevin Knight 1991, "Artificial Intelligence".
- Nilsson, Nils J. Principles of Artificial Intelligence, Narosa Publishing House New Delhi, 1998.
- Norvig, Peter & Russel, Stuart Artificial Intelligence: A modern Approach, Prentice Hall, NJ, 1995
- Patterson, Dan W. Introduction to Artificial Intelligence and Expert Systems, Prentice Hall of India Private Limited New Delhi, 1998.
Lesson
Machine Learning
Subject
Computer Engineering
Grade
Engineering
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