Login using Social Account
Login using your credentials
A TensorFlow tensor is usually a multidimensional array, but it can also hold a scalar?
True
False
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
No hints are availble for this assesment
Go Back to the Course
1 Custom Models and Training with Tensorflow - Custom Models and Training - Part I
2 Custom Models and Training with Tensorflow - Custom Models and Training - Part II
3 MCQ - Writing a custom training loop will make your code longer, more error-prone, and harder to maintain?
4 MCQ - We can add a scalar value to a tensor?
5 MCQ - The Huber loss is not currently part of the official Keras API, but it is available in tf.keras?
6 MCQ - You cannot create a tensor from a NumPy array?
7 MCQ - You can create a tensor with tf.constant()?
8 MCQ - A TensorFlow tensor is usually a multidimensional array, but it can also hold a scalar?
9 MCQ - TensorFlow Lite runs only on Mac devices?
10 MCQ - TensorFlow's JIT compiler allows it to optimize computations for speed and memory usage?
11 MCQ - TensorFlow has a core similar to Numpy?
12 MCQ - We need lower-level Python API in TensorFlow when extra control is need for writing:
Loading comments...