﻿ Python TensorFlow scalar multiplication

# Python TensorFlow scalar multiplication

## Python TensorFlow Basic: Exercise-4 with Solution

Write a Python program that multiplies a TensorFlow tensor by a scalar value and prints the result.

Sample Solution:

Python Code:

``````import tensorflow as tf

# Create a TensorFlow tensor
# Tensors are multi-dimensional arrays with a uniform type (called a dtype ).
ts = tf.constant([100, 200, 300], dtype=tf.float32)

# Define the scalar value
sc = 3.0

# Multiply the tensor by the scalar
result_tensor = ts * sc

# Print the result
print("Original Tensor:", ts.numpy())
print("Scalar Value:", sc)
print("Result Tensor (After multiplying the tensor by the scalar):", result_tensor.numpy())
```
```

Output:

```Original Tensor: [100. 200. 300.]
Scalar Value: 3.0
Result Tensor (After multiplying the tensor by the scalar.): [300. 600. 900.]
```

Explanation:

In the exercise above, we create a TensorFlow tensor "ts" with values [1.0, 2.0, 3.0] and a scalar value "sc" of 3.0. We then multiply the tensor by the scalar using the * operator, which performs element-wise multiplication. Finally, we print the original tensor, the scalar value, and the resultant tensor.

Python Code Editor:

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