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Q1. Can a neural network model the characteristic (y=1/x) in TensorFlow?

Can't be said
No
I don't know
Yes

Q2. Wherein neural internet architecture, does weight sharing occur in TensorFlow?

b and c
Recurrent Neural community
Fully related Neural community
Convolutional neural community

Q3. Which of the following techniques perform comparable operations as the dropout in a neural community in TensorFlow?

Boosting
Bagging
None of the above
Stacking

Q4. Identify the lifeless unit in a neural community?

A unit which doesn’t replace throughout training by means of any of its neighbour
A unit which does now not reply absolutely to any of the schooling styles
The unit which produces the most important sum-squared mistakes
None of the above

Q5. A numeric variable can shop numeric values with a maximum of eight digits.

I don't know
Can't be said
No
Yes

Q6. 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?

Yes
Can't be said
I don't know
No

Q7. What if we use a gaining knowledge of fee that’s too huge?

None of the above
Network will converge
Can’t Say
Network will not converge

Q8. In a neural network, which of the subsequent strategies is used to deal with overfitting in TensorFlow?

Dropout
Batch normalization
All of the above
Regularization

Q9. Which of the subsequent declaration(s) effectively represents an actual neuron in TensorFlow?

A neuron has a single input, however, more than one outputs
All of the above statements are valid
A neuron has multiple inputs but a single output only
A neuron has a single enter and a single output best

Q10. Which of the following functions shouldn't be used at the output layer to classify an image?

ReLU
None of these
sigmoid
tanh

Tensorflow 2

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Tensorflow 2

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