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Key terms:
neural network
rbf
neurons
recurrent
perceptron
cost function
artificial neural network
sontag
output layer
pattern recognition
feedforward
sigmoid
hidden layer
correlations
rbf networks
neural network models
synapses
associative memory
random variable
instantaneously
hopfield network
probabilistic
learning algorithms
local minima
unsupervised learning
boltzmann machine
connectionist
reinforcement learning
neural network software
dynamic neural
processing elements
activation function
ann dependency graph
training neural
backpropagation
optimal solution
radial basis functions
spiking neural network
artificial neuron
recurrent neural network
biological neural network
regression analysis
posterior probability
function approximation
tasks that fall within
artificial intelligence
fall within the paradigm
simple recurrent network
holographic associative memory
introduction to neural networks
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