Step-by-Step Explanation:
1. import tensorflow as tf:
This imports the TensorFlow library.TensorFlow is used for numerical computations and building machine learning models.
Here, we use TensorFlow to perform matrix operations.
2. a = tf.constant([[1, 2], [3, 4]]):
What is tf.constant?
It creates a constant tensor, which is an immutable multi-dimensional array.
Here:
A 2x2 tensor a is created with the following values:
[[1, 2],
[3, 4]]
This tensor represents a matrix with two rows and two columns.
3. b = tf.constant([[5, 6], [7, 8]]):
Similar to a, this creates another constant 2x2 tensor b with values:
[[5, 6],
[7, 8]]
4. result = tf.matmul(a, b):
What is tf.matmul?
tf.matmul performs matrix multiplication between two tensors.
5. print(result):
What does this do?
This prints the result of the matrix multiplication.
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