{
  "algorithms": [
    {
      "id": "gradient_descent",
      "label": "Gradient descent",
      "params": [
        { "name": "learning_rate", "label": "Learning rate η", "symbol": "η", "kind": "number", "min": 0, "minExclusive": true, "default": 0.1, "description": "How far each step moves along the negative gradient." },
        { "name": "momentum", "label": "Momentum μ", "symbol": "μ", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.0, "description": "How much of the previous step carries over into the next one." }
      ]
    },
    {
      "id": "nesterov",
      "label": "Nesterov momentum",
      "params": [
        { "name": "learning_rate", "label": "Learning rate η", "symbol": "η", "kind": "number", "min": 0, "minExclusive": true, "default": 0.1, "description": "How far each step moves along the negative gradient." },
        { "name": "momentum", "label": "Momentum μ", "symbol": "μ", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.1, "description": "How much of the previous step carries over; the gradient is taken at the look-ahead point." }
      ]
    },
    {
      "id": "newton",
      "label": "Newton's method",
      "params": []
    },
    {
      "id": "adam",
      "label": "Adam",
      "params": [
        { "name": "learning_rate", "label": "Learning rate η", "symbol": "η", "kind": "number", "min": 0, "minExclusive": true, "default": 0.1, "description": "The largest step size, roughly." },
        { "name": "beta1", "label": "Decay β₁", "symbol": "β₁", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.9, "description": "Decay rate of the moving average of gradients (first moment)." },
        { "name": "beta2", "label": "Decay β₂", "symbol": "β₂", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.999, "description": "Decay rate of the moving average of squared gradients (second moment)." },
        { "name": "epsilon", "label": "Epsilon ε", "symbol": "ε", "kind": "number", "min": 0, "minExclusive": true, "default": 1e-8, "description": "Added to the denominator to avoid dividing by zero." }
      ]
    },
    {
      "id": "adagrad",
      "label": "Adagrad",
      "params": [
        { "name": "learning_rate", "label": "Learning rate η", "symbol": "η", "kind": "number", "min": 0, "minExclusive": true, "default": 0.1, "description": "Divided by the root of the summed squared gradients." },
        { "name": "epsilon", "label": "Epsilon ε", "symbol": "ε", "kind": "number", "min": 0, "minExclusive": true, "default": 1e-8, "description": "Added to the denominator to avoid dividing by zero." }
      ]
    },
    {
      "id": "rmsprop",
      "label": "RMSProp",
      "params": [
        { "name": "learning_rate", "label": "Learning rate η", "symbol": "η", "kind": "number", "min": 0, "minExclusive": true, "default": 0.1, "description": "Divided by the root of the moving average of squared gradients." },
        { "name": "beta", "label": "Decay β", "symbol": "β", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.9, "description": "Decay rate of the moving average of squared gradients." },
        { "name": "epsilon", "label": "Epsilon ε", "symbol": "ε", "kind": "number", "min": 0, "minExclusive": true, "default": 1e-8, "description": "Added to the denominator to avoid dividing by zero." }
      ]
    },
    {
      "id": "adadelta",
      "label": "Adadelta",
      "params": [
        { "name": "beta", "label": "Decay β", "symbol": "β", "kind": "number", "min": 0, "max": 1, "maxExclusive": true, "default": 0.9, "description": "Decay rate of the moving averages of squared gradients and squared updates." },
        { "name": "epsilon", "label": "Epsilon ε", "symbol": "ε", "kind": "number", "min": 0, "minExclusive": true, "default": 0.001, "description": "Sets the first step size, and avoids dividing by zero." }
      ]
    }
  ]
}