Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or in Node.js.
The tf.Tensor class .data() method is used to asynchronously download the values from the tf.Tensor.
Syntax:
data()
Parameters: It does not accept any parameter.
Return Value: It returns Promise <DataTypeMap[NumericDataType]>.
Example 1:
Javascript
const a = tf.tensor([1, 3, 5, 4, 2]) console.log(a.data()) |
Output:
Example 2: Creating a 2d tensor
Javascript
const a = tf.tensor2d([[0, 1], [2, 3]]) console.log(a.data()) |
Output:
Reference: https://js.tensorflow.org/api/latest/#tf.Tensor.data
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