These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
Practice: Optimizers and Data Shuffling
Q1. True/False. Multi-layer perceptrons always have a hidden layer. True False
Answer: True
Q2. True/False. Multi-layer perceptrons are considered a type of feedforward neural network. True False
Answer: True
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
These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
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
Q2. (True/False) The “vanishing gradient” problem can be solved using a different activation function. True False
Answer: True
Q3. (True/False) Every node in a neural network has an activation function. True False
Answer: False
These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
Q4. These are all activation functions except: Sigmoid Hyperbolic tangent Leaky hyperbolic tangent ReLu
Answer: Leaky hyperbolic tangent
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
Q6. These are all activation functions except: Tanh (hyperbolic tangent) ReLU (Rectified Linear Unit) Softmax Pruning
Answer: Pruning
These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
Q7. (True/False) Optimizer approaches for Deep Learning Regularization use gradient descent: True False
Answer: False
Q8. Stochastic gradient descent is this type of batching method: online learning mini batch full batch stochastic batch
Answer: online learning
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
These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
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
These are answers of Deep Learning and Reinforcement Learning Week 3 Quiz
