Python Coding challenge - Day 426| What is the output of the following Python Code?

 

Code Explanation:

1. Import TensorFlow

import tensorflow as tf

You're importing TensorFlow — a deep learning framework used for tensors, models, training, and automatic differentiation.

2. Define Variable x

x = tf.Variable(3.0)

You define a TensorFlow variable x with a float value 3.0.

tf.Variable is used when you want to compute gradients with respect to this variable.

3. Start Recording with GradientTape

with tf.GradientTape() as tape:

    y = x**2

tf.GradientTape() is used to record operations for automatic differentiation.

Inside the with block, TensorFlow tracks all computations involving x.

y = x**2 → this is the function whose gradient you want.

4. Compute Gradient

grad = tape.gradient(y, x)

This line computes the gradient of y with respect to x.

5. Print Result

print(grad)

This prints:

tf.Tensor(6.0, shape=(), dtype=float32)

Final Output:

6.0