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description
Exported internal Tensoflow.js library

danfo.tensorflow

danfo.tensorflow

Returns:

return Tensorflow.js library

Examples

{% tabs %} {% tab title="Node" %}

const dfd = require("danfojs-node")
const tf = dfd.tensorflow

let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
console.log(tensor_arr)

{% endtab %}

{% tab title="Browser" %}

<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <!--danfojs CDN -->
    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
    <title>Document</title>
</head>

<body>

    <script>
        const tf = dfd.tensorflow
        let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
        console.log(tensor_arr)
         
    </script>
</body>

</html>

{% endtab %} {% endtabs %}

{% tabs %} {% tab title="Output" %}

Tensor {
  kept: false,
  isDisposedInternal: false,
  shape: [ 2, 4 ],
  dtype: 'float32',
  size: 8,
  strides: [ 4 ],
  dataId: {},
  id: 4,
  rankType: '2'
}

{% endtab %} {% endtabs %}