Deep Learning and Reinforcement Learning Week 3 All Quiz

Practice: Optimizers and Data Shuffling 

1. True/False. Multi-layer perceptrons always have a hidden layer.

A) True
B) False

ANSWER= (A) True

 

2. True/False. Multi-layer perceptrons are considered a type of feedforward neural network.

A) True
B) False

ANSWER= (A) True

 

3. Select the correct rule of thumb regarding training a neural network. In general, as you train a neural network:

A) The log loss decreases and the accuracy decreases
B) The log loss decreases and the accuracy increases
C) The log loss increases and the accuracy decreases
D) The log loss increases and the accuracy increasess

ANSWER= (B) The log loss decreases and the accuracy increases

Week 3 Final Quiz  

1. What is the main function of backpropagation when training a Neural Network?

A) Preprocess the input layer
B) Make adjustments to the weights
C) Make adjustments to the loss function
D) Propagate the output on the output layer

ANSWER= (B) Make adjustments to the weights

 

2. (True/False) The “vanishing gradient” problem can be solved using a different activation function

A) True
B) False

ANSWER= (A) True

 

3. (True/False) Every node in a neural network has an activation function.

A) True
B) False

ANSWER= (B) False

 

4. These are all activation functions except:

A) Sigmoid
B) Hyperbolic tangent
C) Leaky hyperbolic tangent
D) ReLu

ANSWER= (C) Leaky hyperbolic tangent

 

5. Deep Learning uses deep Neural Networks for all these uses, except

A) As an alternative to manual feature engineering
B) To uncover usually unobserved relationships in the data
C) Cases in which explainability is the main objective
D) As a classification and regression technique

ANSWER= (C) Cases in which explainability is the main objective

 

6. These are all activation functions except:

A) Tanh (hyperbolic tangent)
B) ReLU (Rectified Linear Unit
C) Softmax
D) Pruning

ANSWER= (D) Pruning

 

7. (True/False) Optimizer approaches for Deep Learning Regularization use gradient descent:

A) True
B) False

ANSWER= (B) False

 

8. Stochastic gradient descent is this type of batching method:

A) online learning
B) mini batch
C) full batch
D) stochastic batch

ANSWER= (A) online learning

 

9. (True/False) The main purpose of data shuffling during the training of a Neural Network is to aid convergence and use the data in a different order each epoch.

A) True
B) False

ANSWER= (A) True

 

10. This is a high-level library that is commonly used to train deep learning models and runs on either TensorFlow or Theano:

A) PyTorch
B) Keras
C) Watson Studio
D) Deep Learning

ANSWER= (B) Keras