# 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

### 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**

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