description |
---|
Exported internal Tensoflow.js library |
danfo.tensorflow
Returns:
return Tensorflow.js library
{% 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 %}