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MachineIntelligenceCore:NeuralNets
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Namespaces | |
| artificial_landscapes | |
Classes | |
| class | AdaDelta |
| Update using AdaDelta - adaptive gradient descent with running average E[g^2] and E[d^2]. More... | |
| class | AdaGrad |
| Update using AdaGrad - adaptive gradient descent. More... | |
| class | Adam |
| Adam - adaptive moment estimation. More... | |
| class | AdamID |
| AdamID - ADAM with integral and derivative coefficients. More... | |
| class | GradientDescent |
| Update in the direction of gradient descent. More... | |
| class | GradPID |
| GradPID - adaptive gradient descent with proportional, integral and derivative coefficients. More... | |
| class | AdaGradPID |
| AdaGradPID - adaptive gradient descent with proportional, integral and derivative coefficients. More... | |
| class | Momentum |
| Update in the direction of gradient descent - with momentum. More... | |
| class | OptimizationArray |
| A dynamic array of optimization functions (a hash-table). More... | |
| class | OptimizationFunction |
| Abstract class representing interface to optimization function. More... | |
| class | RMSProp |
| Update using RMSProp - adaptive gradient descent with running average E[g^2]. More... | |