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Symbols

Network (Function Approximator)
Optimal Model
Generic Variable
Generic Constant 3
Random Variable
Complex Number
Number of Samples
Generic Function 1 (Calculus)
Number of Outputs
Generic Ordinary Differential Equation
Secondary Iterator
Polynomial
Random Variable Input
Set of whole numbers
An Integer
Normalized Radian Frequency
Generic Variable 2
Iterator
Generic Function 2 (Calculus)
Generic Function 3
Random Variable Output
Transpose
Polynomial Constant
Angle
Legrange's Derivative Notation
Space of Possible Microstates
Update Operator
State of the input neuron of LSTM
Temperature
Neuron activation
Expectation
Real Part
Generic Constant 2
Diameter
Eulers Constant
State of the input gate neuron in LSTM
Ground Truth
State Space of Dynamical System
Hypothesis Space
Frequency
Signal Function
Normalized Frequency
Generic Variable 3
Layer size
Set of Reals
System State
State of the output gate of an LSTM
Sampling Period
State of the forget gate in an LSTM
Layer activation
Activation Function
Parameter Space
Order of a Difference Equation
Kronecker Delta Function
Sampling Frequency
Output Function
Sample
Finite Impulse Response
Weights matrix
Integral
Discrete function
Risk
Radius
Response of Filter
Legrange's Derivative Function
Weight Vector
Step Size
Output activation vector
Convolution
Constant of Integration
Sinusoidal Response of a Finite Impulse Response Filter
Loss Function
Memory cell of an LSTM
A Second Integer
Error of a Neuron
Regularization
Partition Function (Normalization constant)
System Input
Sigmoid
Sum
Proposed Next State
Bias
Model's parameters
Model
Generic Function 2
System Output
Markov Transition Matrix
Proposal Distribution
Identity Matrix
Generic Neuron Activation
Microstate
Weight in BM
Gradient
Activation Vector
Y-intercept
Generic Function
Product
Fundamental Period
Potential of a Unit
Energy
Limit
Differential
Input
Number of Subintervals
Change in Variable
Learning Rate
Width of a Rectangle
Infinity
Number of Inputs
Height of a Rectangle
Training pattern
Period
Impulse Response
Imaginary Part
Area
Radian Frequency
A Whole Number
Time
Number of Neurons
Value of f at x
Generic Constant 1
Set of integers
Angle 2
Cosine
RNN Hidden State
Pi
Sine
Circumference
Imaginary Number
Complex Conjugate
Z-Transform
Logarithm
General Measure Function
Probability Distribution
Acceptance Probability (Acceptance Function)
Average Probability Overall
Average Probability Samples
Gradient of a Line
Z-Domain Variable