# TF – TensorFlow Operations

• Subtract
• Multiply
• Divide
• Square
• Reshape

### Example

const tensorA = tf.tensor([[1, 2], [3, 4], [5, 6]]);
const tensorB = tf.tensor([[1,-1], [2,-2], [3,-3]]);

// Result: [ [2, 1], [5, 2], [8, 3] ]

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## Tensor Subtraction

You can subtract two tensors using tensorA.sub(tensorB):

### Example

const tensorA = tf.tensor([[1, 2], [3, 4], [5, 6]]);
const tensorB = tf.tensor([[1,-1], [2,-2], [3,-3]]);

// Tensor Subtraction
const tensorNew = tensorA.sub(tensorB);

// Result: [ [0, 3], [1, 6], [2, 9] ]

## Tensor Multiplication

You can multiply two tensors using tensorA.mul(tensorB):

### Example

const tensorA = tf.tensor([1, 2, 3, 4]);
const tensorB = tf.tensor([4, 4, 2, 2]);

// Tensor Multiplication
const tensorNew = tensorA.mul(tensorB);

// Result: [ 4, 8, 6, 8 ]

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## Tensor Division

You can divide two tensors using tensorA.div(tensorB):

### Example

const tensorA = tf.tensor([[1, 2], [3, 4], [5, 6]]);
const tensorB = tf.tensor([[1,-1], [2,-2], [3,-3]]);

// Tensor Division
const tensorNew = tensorA.div(tensorB);

// Result: [ 2, 2, 3, 4 ]

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## Tensor Square

You can square a tensor using tensor.square():

### Example

const tensorA = tf.tensor([1, 2, 3, 4]);

// Tensor Square
const tensorNew = tensorA.square();

// Result [ 1, 4, 9, 16 ]

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## Tensor Reshape

The number of elements in a tensor is the product of the sizes in the shape.

Since there can be different shapes with the same size, it is often useful to reshape a tensor to other shapes with the same size.

You can reshape a tensor using tensor.reshape():

### Example

const tensorA = tf.tensor([[1, 2], [3, 4]]);
const tensorB = tensorA.reshape([4, 1]);

// Result: [ , , ,  ]

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