Project 12: Mean Squared Error Calculator

ML Engineer

Builds on these lessons

Current Task

A loss function measures how wrong a prediction is — MeanSquaredError is one of many built-in Keras loss classes you can call directly.

Task: compute the mean squared error between true and predicted values and print it.

index.py

import tensorflow as tf

y_true = [1.0, 0.0]
y_pred = [0.9, 0.2]

mse = tf.keras.losses.MeanSquaredError()
print(mse(y_true, y_pred).numpy())

* Hint: Correct characters turn green, incorrect ones turn red.

Live Preview

🖼️

Verify your code to see the preview