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# Tensorflow.js tf.minimum() Function

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.

The tf.minimum() function is used to return the minimum of the two specified tensors element-wise. It supports broadcasting.

Syntax:

`tf.minimum (a, b)`

Parameters: This function accepts two parameters which are illustrated below:

• a: The first specified tensor.
• b: The second specified tensor. It must have same data type as “a”.

Return Value: It returns the minimum of the two specified tensors “a” and “b” element-wise.

Example 1:

## Javascript

 `// Importing the tensorflow.js library ` `import * as tf from ``"@tensorflow/tfjs"` ` `  `// Initializing two tensors ` `const a = tf.tensor1d([3, 5, 7, 9]); ` `const b = tf.tensor1d([1, 6, 8, 2]); ` ` `  `// Calling the .minimum() function ` `a.minimum(b).print();`

Output:

```Tensor
[1, 5, 7, 2]```

Example 2:

## Javascript

 `// Importing the tensorflow.js library ` `import * as tf from ``"@tensorflow/tfjs"` ` `  `// Using two tensors as the parameter ` `// for the .minimum() function ` `tf.tensor1d([3, 5, 7, 9]).minimum(tf.tensor1d([6])).print();`

Output:

```Tensor
[3, 5, 6, 6]```

Example 3:

## Javascript

 `// Importing the tensorflow.js library ` `import * as tf from ``"@tensorflow/tfjs"` ` `  `// Broadcasting minimum a with b ` `const a = tf.tensor1d([1, 2, 7, 3, 4]); ` `const b = tf.scalar(4); ` ` `  `// Calling the .minimum() function ` `a.minimum(b).print();`

Output:

```Tensor
[1, 2, 4, 3, 4]```

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