TensorFlow Test 1

Question 1

In TensorFlow, which of the following declarations effectively represents an actual neuron?

Accepted Answer

All of the above

Answer

A neuron has a single input, however, more than one outputs

Answer

A neuron has a single enter and a single output best

Answer

A neuron has multiple inputs but a single output only

Question 2

In TensorFlow, which of the following procedures is used to cope with overfitting in a neural network?

Accepted Answer

All of the above

Answer

Regularization

Answer

Dropout

Answer

Batch Normalization

Question 3

In TensorFlow, which of the following algorithms performs processes similar to the dropout in a neural community?

Accepted Answer

Bagging

Answer

Stacking

Answer

Boosting

Answer

None of the above

Question 4

Batch normalization is useful due to?

Accepted Answer

It normalizes (adjustments) all the input earlier than sending it to the subsequent layer

Answer

It returns again the normalized mean and widespread deviation of weights

Answer

It miles a very efficient backpropagation method

Answer

None of the above

Question 5

Which components of convolutional neural networks will conduct classification on the extracted features under Tensorflow?

Accepted Answer

Dense (fully connected) layers,

Answer

Pooling layers

Answer

Convolutional layers

Answer

None of the above

Question 6

Which of the following functions should not be used to classify an image at the output layer?

Accepted Answer

ReLU

Answer

sigmoid

Answer

tanh

Answer

None of the above

Question 7

Under Tensorflow, which components of convolutional neural networks retrieve subregions of the feature map (e.g., 2x2-pixel tiles), maintain their greatest value, and discard all other values?

Accepted Answer

Pooling layers

Answer

Dense (fully connected) layers,

Answer

Convolutional layers

Answer

None of the above

Question 8

A ______ is a network that includes feedback linkages from o/p to i/p as well as hidden layers.

Accepted Answer

Recurrent neural network

Answer

Self organizing maps

Answer

Multi layered perceptron

Answer

All of the above

Question 9

Under Tensorflow, which components of Convolutional neural networks commonly use a ReLU activation function to the output to incorporate nonlinearities into the model?

Accepted Answer

Convolutional layers

Answer

Dense (fully connected) layers,

Answer

Pooling layers

Answer

None of the above