Adagrad constructor

Adagrad(List<Tensor> parameters, { required double learningRate, double epsilon = 1e-8, })

Implementation

Adagrad(
    List<Tensor<dynamic>> parameters, {
      required double learningRate,
      this.epsilon = 1e-8,
    }) : super(parameters, learningRate: learningRate) {
  _gSquaredSum = {};
  for (int p = 0; p < parameters.length; p = p + 1) {
    Tensor<dynamic> param = parameters[p];
    int size = param.data.length;
    List<double> stateList = [];
    for (int i = 0; i < size; i = i + 1) {
      stateList.add(0.0);
    }
    _gSquaredSum[param.id] = stateList;
  }
}