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 Node.js.
The tf.reshape() function is used to reshape a given tensor with the specified shape.
Syntax:
tf.reshape(x, shape)
Parameters: This function has the following parameters:
- x: It is the input tensor that needs to be shaped.
- shape: We need to pass array of numbers to define the output shape.
Return Value: It returns a tf.Tensor.
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs"
const x = tf.tensor1d([10, 15, 16, 24]); // Print the tensor x.reshape([2, 2]).print(); |
Output:
Tensor
[[10, 15],
[16, 24]]Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs"
// Using 2d const x = tf.tensor2d( [1, 2, 3, 4, 5, 6, 7, 8, 9], [3, 3]
); x.reshape([3, 3]).print(); // Using 3d const y = tf.tensor3d( [[[1], [2]], [[3], [4]]]
); y.reshape([2, 2]).print(); // Using 4d const z = tf.tensor4d( [11, 12, 13, 14], [1, 2, 2, 1]
); z.reshape([2, 2]).print(); |
Output:
Tensor
[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
Tensor
[[1, 2],
[3, 4]]
Tensor
[[11, 12],
[13, 14]]