Du et al., 2019 - Google Patents
Neural network circuits and parallel implementationsDu et al., 2019
- Document ID
- 3851100799252297166
- Author
- Du K
- Swamy M
- Du K
- Swamy M
- Publication year
- Publication venue
- Neural Networks and Statistical Learning
External Links
Snippet
Hardware and parallel implementations can substantially speed up machine learning algorithms to extend their widespread applications. In this chapter, we first introduce various circuit realizations for popular neural network learning methods. We then introduce their …
- 230000001537 neural 0 title abstract description 123
Classifications
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- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
- G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
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- G06F17/5009—Computer-aided design using simulation
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- G06F15/78—Architectures of general purpose stored programme computers comprising a single central processing unit
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- G—PHYSICS
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
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