Explanation:
import tensorflow as tf
This imports the TensorFlow library, a popular open-source library for numerical computation and machine learning.
TensorFlow allows you to work with tensors (multi-dimensional arrays) and perform various mathematical operations.
a = tf.constant(5)
tf.constant(): Creates a constant tensor.
Here, a is a scalar tensor with a value of 5.
Tensor: Tensors are data structures that represent multi-dimensional arrays. A scalar tensor is essentially a single value.
b = tf.constant(3)
Similarly, b is another scalar tensor with a value of 3.
result = tf.add(a, b)
tf.add(a, b): Adds the values of the tensors a and b.
TensorFlow uses this operation to perform element-wise addition. Since a and b are scalar tensors, it computes the scalar sum 5 + 3 = 8.
The result is stored as a tensor.
print(result)
This prints the result, which is a TensorFlow tensor object.
The output includes:
shape=(): Indicates a scalar (no dimensions).
dtype=int32: Specifies the data type (32-bit integer).
numpy=8: Shows the actual value of the tensor when converted to a NumPy array.
Output:
A TensorFlow tensor containing 8.
0 Comments:
Post a Comment