TensorFlow Test 1

Question 1

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

Accepted Answer

All of the above

Answer

Explanation:
All of the above statements are valid

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

Explanation:
All of the above

Question 3

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

Accepted Answer

Bagging

Answer

Explanation:
Bagging is the process of creating many predictors that perform similarly to a single predictor.

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

Explanation:
When batch normalization is applied to neural networks, the inputs to hidden layers are normalized, resulting in improved outcomes.

Question 5

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

Accepted Answer

Dense (fully connected) layers,

Answer

Explanation:
Dense Layer = Fullyconnected Layer = topology, describes how neurons are connected to the next layer of neurons (every neuron in the next layer is connected to every neuron in the next layer), an intermediate layer (also known as hidden layer, see figure) Output Layer = Last layer of a Multilayer Perceptron

TensorFlow Practice Test

TensorFlow Practice Test

TensorFlow Test 1