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  • Created date

Release notes

  • Major bug-fixes of version 2019.3.1
  • Made changes to facilitate Simulator functionality

Release notes

Implemented training methods

  • Gradient descent
  • Mini-batch gradient descent
  • Barzilai-Borwein method
  • Levenberg-Marquardt method
  • Global particle swarm optimization
  • Training sequence

Supported architectures

  • Feed-forward (FF)
  • Incomplete FF networks
  • Sets of FF networks with shared weights

Applied functionality

  • Simple ODE/PDE solver

Degree of parallelization

  • Sequential implementation