[
  {
    "title": "AI for Beginners: Quizzes",
    "complete": "Congratulations, you completed the quiz!",
    "error": "Sorry, try again",
    "quizzes": [
      {
        "id": 104,
        "title": "Neural Networks: Pre Quiz",
        "quiz": [
          {
            "questionText": "The quality of prediction is measured by Loss function",
            "answerOptions": [
              {
                "answerText": "True",
                "isCorrect": true
              },
              {
                "answerText": "False",
                "isCorrect": false
              }
            ]
          },
          {
            "questionText": "One layer network is capable of classifying ____",
            "answerOptions": [
              {
                "answerText": "linearly joined classes",
                "isCorrect": false
              },
              {
                "answerText": "linearly separable classes",
                "isCorrect": true
              },
              {
                "answerText": "single layers of classes",
                "isCorrect": false
              }
            ]
          },
          {
            "questionText": "The method of training multi-layered perceptron is called ____",
            "answerOptions": [
              {
                "answerText": "back propagation",
                "isCorrect": true
              },
              {
                "answerText": "multiple propagation",
                "isCorrect": false
              },
              {
                "answerText": "front propagation",
                "isCorrect": false
              }
            ]
          }
        ]
      },
      {
        "id": 204,
        "title": "Neural Networks: Post Quiz",
        "quiz": [
          {
            "questionText": "We use ____ for regression loss functions",
            "answerOptions": [
              {
                "answerText": "absolute error",
                "isCorrect": false
              },
              {
                "answerText": "mean squared error",
                "isCorrect": false
              },
              {
                "answerText": "all of the above",
                "isCorrect": true
              }
            ]
          },
          {
            "questionText": "All but one is a type of classification loss function",
            "answerOptions": [
              {
                "answerText": "0-1 loss",
                "isCorrect": false
              },
              {
                "answerText": "binary loss",
                "isCorrect": true
              },
              {
                "answerText": "logistic loss",
                "isCorrect": false
              }
            ]
          },
          {
            "questionText": "Softmax can be used to convert inputs into probabilities",
            "answerOptions": [
              {
                "answerText": "True",
                "isCorrect": false
              },
              {
                "answerText": "False",
                "isCorrect": true
              }
            ]
          },
          {
            "questionText": "Cross-entropy loss is a function that can calculate similarity between two arbitrary probability distributions",
            "answerOptions": [
              {
                "answerText": "True",
                "isCorrect": true
              },
              {
                "answerText": "False",
                "isCorrect": false
              }
            ]
          }
        ]
      }
    ]
  }
]