Deep Learning and Reinforcement Learning Week 3

Course Name: Deep Learning and Reinforcement Learning

Course Link: Deep Learning and Reinforcement Learning

These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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Practice: Optimizers and Data Shuffling

Q1. True/False. Multi-layer perceptrons always have a hidden layer.
True
False

Answer: True

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Q2. True/False. Multi-layer perceptrons are considered a type of feedforward neural network.
True
False

Answer: True

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Q3. Select the correct rule of thumb regarding training a neural network. In general, as you train a neural network:
The log loss decreases and the accuracy decreases
The log loss decreases and the accuracy increases
The log loss increases and the accuracy decreases
The log loss increases and the accuracy increases

Answer: The log loss decreases and the accuracy increases

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These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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Final Quiz

Q1. What is the main function of backpropagation when training a Neural Network?
Preprocess the input layer
Make adjustments to the weights
Make adjustments to the loss function
Propagate the output on the output layer

Answer: Make adjustments to the weights

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Q2. (True/False) The “vanishing gradient” problem can be solved using a different activation function.
True
False

Answer: True

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Q3. (True/False) Every node in a neural network has an activation function.
True
False

Answer: False

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These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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Q4. These are all activation functions except:
Sigmoid
Hyperbolic tangent
Leaky hyperbolic tangent
ReLu

Answer: Leaky hyperbolic tangent

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Q5. Deep Learning uses deep Neural Networks for all these uses, excep
As an alternative to manual feature engineering
To uncover usually unobserved relationships in the data
Cases in which explainability is the main objective
As a classification and regression technique

Answer: Cases in which explainability is the main objective

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Q6. These are all activation functions except:
Tanh (hyperbolic tangent)
ReLU (Rectified Linear Unit)
Softmax
Pruning

Answer: Pruning

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These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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Q7. (True/False) Optimizer approaches for Deep Learning Regularization use gradient descent:
True
False

Answer: False

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Q8. Stochastic gradient descent is this type of batching method:
online learning
mini batch
full batch
stochastic batch

Answer: online learning

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Q9. (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.
True
False

Answer: True

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These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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Q10. This is a high-level library that is commonly used to train deep learning models and runs on either TensorFlow or Theano:
PyTorch
Keras
Watson Studio
Deep Learning

Answer: Keras

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These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz

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