{
    "type": "Model",
    "definition": {
        "text": "In machine learning, a model is a function with learnable parameters that maps an input to an output. The optimal parameters are obtained by training the model on data. A well-trained model will provide an accurate mapping from the input to the desired output.",
        "updated": 1613200965382
    },
    "paragraphs": [
        {
            "style": "Text",
            "text": "In TensorFlow.js there are two ways to create a machine learning model:",
            "updated": 1613201440028
        },
        {
            "style": "List",
            "text": "using the Layers API where you build a model using layers."
        },
        {
            "style": "List",
            "text": "using the Core API with lower-level ops such as tf.matMul(), tf.add(), etc."
        }
    ]
}