neural network models
Neural network models are computational systems inspired by the human brain's neural networks. They use interconnected layers of artificial neurons to process and analyze data, enabling machines to learn complex patterns and make predictions or decisions based on that learning.
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Related Concepts (1)
Similar Concepts
- artificial neural networks
- connectionist models
- deep learning models
- fuzzy neural networks
- neural network architecture
- neural network architectures
- neural network inference
- neural network layers
- neural network modeling
- neural network training
- neural networks
- neural networks and brain behavior
- recurrent neural networks
- robustness of neural networks
- single neuron models