# Top 20 TensorFlow Quiz Questions – Boost Your Knowledge

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In this TensorFlow Quiz, we are going to discuss the Best TensorFlow Quiz Questions with their answers. These TensorFlow Quiz questions will help you to improve your performance and examine your knowledge.

Also, do not forget to check the other part of the TensorFlow Quiz.

**TensorFlow Quiz – 1****TensorFlow Quiz – 2****TensorFlow Quiz – 3**

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- Question 1 of 20
##### 1. Question

Which of the subsequent declaration(s) effectively represents an actual neuron in TensorFlow?

CorrectIncorrect - Question 2 of 20
##### 2. Question

What are the stairs for the usage of a gradient descent algorithm in TensorFlow?

1. Calculate error among the actual fee and the anticipated price

2. Reiterate until you find the excellent weights of the network

3. Pass an enter via the community and get values from the output layer

4. Initialize random weight and bias

5. Go to every neurons which contributes to the error and exchange its respective values to lessen the errorCorrectIncorrect - Question 3 of 20
##### 3. Question

“Convolutional Neural Networks can carry out various forms of transformation (rotations or scaling) in an enter”. Is the assertion correct true or false in TensorFlow?

CorrectIncorrect - Question 4 of 20
##### 4. Question

Which of the following techniques perform comparable operations as the dropout in a neural community in TensorFlow?

CorrectIncorrect - Question 5 of 20
##### 5. Question

Which of the following is authentic approximately model capability (in which version capacity method the potential of the neural community to approximate complex capabilities) in TensorFlow?

CorrectIncorrect - Question 6 of 20
##### 6. Question

In case you growth the range of hidden layers in a Multi-Layer Perceptron, the category errors of check facts always decreases in TensorFlow. Authentic or fake?

CorrectIncorrect - Question 7 of 20
##### 7. Question

What’s the series of the following duties in a perceptron in tensorflow?

1.Initialize weights of perceptron randomly

2. Visit the subsequent batch of the dataset

3. If the prediction does no longer in shape the output, trade the weights

4. For a sample enter, compute an outputCorrectIncorrect - Question 8 of 20
##### 8. Question

Suppose that you have to limit the value feature via converting the parameters. Which of the subsequent approach could be used for this in TensorFlow?

CorrectIncorrect - Question 9 of 20
##### 9. Question

Can a neural network model the characteristic (y=1/x) in TensorFlow?

CorrectIncorrect - Question 10 of 20
##### 10. Question

Wherein neural internet architecture, does weight sharing occur in TensorFlow?

CorrectIncorrect - Question 11 of 20
##### 11. Question

Batch Normalization is useful due to the fact?

CorrectIncorrect - Question 12 of 20
##### 12. Question

As opposed to trying to acquire absolute 0 error, we set a metric called Bayes blunders that’s the error we hope to achieve. What may be the cause for the use of Bayes blunders in TensorFlow?

CorrectIncorrect - Question 13 of 20
##### 13. Question

In a neural network, which of the subsequent strategies is used to deal with overfitting in TensorFlow?

CorrectIncorrect - Question 14 of 20
##### 14. Question

Y = ax^2 + bx + c (polynomial equation of degree 2)Can this equation be represented via a neural network of a single hidden layer with linear threshold?

CorrectIncorrect - Question 15 of 20
##### 15. Question

A numeric variable can shop numeric values with a maximum of eight digits.

CorrectIncorrect - Question 16 of 20
##### 16. Question

What’s a lifeless unit in a neural community?

CorrectIncorrect - Question 17 of 20
##### 17. Question

Which of the subsequent assertion is the high-quality description of early stopping?

CorrectIncorrect - Question 18 of 20
##### 18. Question

What if we use a gaining knowledge of fee that’s too huge?

CorrectIncorrect - Question 19 of 20
##### 19. Question

In TensorFlow, knowing the weight and bias of each neuron is the maximum crucial step. If you could by some means get the best fee of weight and bias for each neuron, you may approximate any characteristic. What will be the first-class way to technique this?

CorrectIncorrect - Question 20 of 20
##### 20. Question

The variety of neurons inside the output layer must in shape the wide variety of instructions (in which the variety of lessons is extra than 2) in a supervised studying project in TensorFlow. Real or false?

CorrectIncorrect

Here we come to the end of the Quiz. Hope you enjoyed it!!!

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