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Superalgos/Projects/TensorFlow/Schemas/Docs-Nodes/model.json
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{
"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."
}
]
}