Neural networks (Computer science)-Mathematical models
Neural networks (Computer science)-Mathematical models is a book subject. It includes 7 books, written by 7 different authors.
Key facts
- number of authors: 7 people
- number of books: 7
- books: Bayesian Deep Learning : work with Bayesian neural networks BNN and BDL to employ an ensemble of deep learning models, Disruption forecasting at JET using neural networks, Mathematical methods for neural network analysis and design
- authors: Matt Benatan, B. Cannas, Richard M. Golden
- publication dates: 2023, 2002, 1996
- book publishers: Packt Publishing, EFDA, MIT Press
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"Neural networks (Computer science)-Mathematical models" is one of the 293,135 book subjects in our database.
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