Neural networks (Computer science)
Overview
| Works: | 43 works in 43 publications in 43 languages | |
|---|---|---|
Titles
Vector space projections :a numerical approach to signal and image processing, neural nets, and optics /
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Neural network fundamentals with graphs, algorithms, and applications /
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Cellular neural networks and visual computing :foundation and applications /
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Computational models for neuroscience :human cortical information processing /
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Fuzzy engineering expert systems with neural network applications /
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Recurrent neural networks for prediction :learning algorithms, architectures, and stability /
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Differential neural networks for robust nonlinear control :identification, state estimation and trajectory tracking /
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Neuro-fuzzy and soft computing :a computational approach to learning and machine intelligence /
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Computationally efficient model predictive control algorithms :a neural network approach /
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Recurrent neural networks for predictionlearning algorithms, architectures, and stability /
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(Electronic resources)
Neural engineeringcomputation, representation, and dynamics in neurobiological systems /
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Neural networks for instrumentation, measurement and related industrial applications
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Intelligence emerging :adaptivity and search in evolving neural systems /
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Deep learning projects using TensorFlow 2 :neural network development with Python and Keras /
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The TensorFlow Workshop :a hands-on guide to building deep learning models from scratch using real-world datasets /
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