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Neural Networks (Properties/Advantages (Non-linearity, Input-Output…
Neural Networks
Properties/Advantages
Non-linearity
Input-Output mapping
Adaptivity
Evidential response
Contextual information
Fault tolerance
VLSI implementability
Uniformity of analysis and design
Neurobiological analogy
Basic elements of neuronal model
Synapses
Adder
Activation function
Sigmoid
Hyperbolic tangent
Piecewise linear
Threshold
Rectified linear unit (ReLU)
Leaky ReLU
External bias
Processors
Parallel
Distributed
Simple processing units
Knowledge storage and retrieval
Based on human brain
Receptors
Neural net
Effectors
Architectures
Single layer feedforward
Multilayer feedforward
Recurrent
Knowledge representation
Explicit information
Information encoding
4 rules
Learning paradigms
Supervised
Unsupervised
Reinforcement