Confuse Skull: TensorFlow MCQ's

TensorFlow MCQ's

1. Improve quality and performance of the applications is a major driver for switching to DevOps

True

2. Running the TensorFlow session is mandatory to run TensorFlow graph.

True

3. In TensorFlow, a computation runs before the creation of a session.

False

4. TensorFlow is based on ________________.

dataflow graph

5. What is a tensor?

an n-dimesional array

6. Linear regression requires an activation function when calculating the output.

False

7. The independent variable is _______________ and is used to predict the changes in the dependent variable.

EXPLANATORY

8. When there are multiple dependent variables in a model, what is the model called?

0--multi variate and linear regression

9. In TensorFlow computation graph, the nodes represent mathematical operations.

True

10. _________________ are values that are initially unassigned but get initialized when the session is invoked.

variables(W)

11. ___________________ are values that are initially unassigned but get initialized when the session is invoked.

placeholders

12. When there are multiple dependent variables in a model, what is the model called?

Multi Variate Linear Regression

13. Which one of the following you make use of when you want to pass the data from a source during session runtime?

placeholder

14. Scalars are tensors of rank 0.

True

15. Dimension determines the number of coordinates required to locate a specific point.

True

16. Linear regression requires an activation function when calculating the output.

False

17. In TensorFlow, a computation runs before the creation of a session.

False

18. Gradient Descent is an example of ____________________.

Optimizer

19. While fitting linear regression model, ___________________ is minimized during training.

loss

20. A matrix is known as a 2-dimensional array of numbers arranged in and _.

rows and columns

21. A _________________ has only magnitude but no direction.

scalar

22. What does an edge represent in a data flow graph?--

Tensor

23. Which of the following is strictly a one-dimensional array?

vector

24. Variables should always be initialized before running the session.

True

25. What are the color channels that each image is broken down into?

Blue , White and Grey

26. Which of the following is minimized when you run tf.train.GradientDescentOptimizer().minimize()?

learning rate

27. TensorFlow performs necessary uplifting to perform gradient descent optimization.

True

28. Which of the following is used to find dot product of two matrix?

tf.dotprod(mat1,mat2)(W),tf.multiply(mat1,mat2)(W),

29. Which one of the following would you use to initialize a constant in TensorFlow?

tf.constant

30. Which of the following acts as in memory buffers?

variables

31. The advantage of using a placeholder is when required data can be added during the actual runtime from any external sources.--

True

32. TensorFlow is written in __________.

c++

33. How is a vector represented?

List of Characters

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