### Artificial Intelligence For Engineering Assignment 7 | 1st year | aktu by Professor

uploaded:: 11:48:33am 2 Jun 2021### Artificial Intelligence For Engineering Assignment 7 | 1st year | aktu

**Q:1.** Applications of Deep Learning are:

**1.**Self-driving cars

**2.**Fake news detection

**3.**Virtual Assistants

**4.**All the above

**Solution- 4. All the above**

**Q:2.** The inputs for a single layer neural network are 1, 3, 2 and the weights of links connecting input neurons to the output neuron are 2, 2, and 3 then the output will be (Identity activation function is used in output neuron):

**1.**6

**2.**14

**3.**12

**4.**None of the above

**Solution- 2. 14**

**Q:3.** Which of the following is not a type of Artificial Neural Network?

**1.**Perceptron

**2.**Radial Basis Functions

**3.**Random Forest

**4.**Autoencoder

**Solution- 3. Random Forest**

**Q:4.** What is the limitation of deep learning?

**1.**Amount of data

**2.**Computational expensive

**3.**Data Labeling

**4.**All the above

**Solution- 4. All the above**

**Q:5.** The number of nodes in the hidden layer is 8 and the output layer is 5. The maximum number of connections from the hidden layer to the output layer are:

**1.**40

**2.**Less than 40

**3.**More than 40

**4.**It is an arbitrary value

**Solution- 1. 40**

**Q:6.** Recurrent Neural Networks (RNN) are used for

**1.**Businesses Help securities traders to generate analytic reports

**2.**Detecting fraudulent credit-card transaction

**3.**Providing a caption for images

**4.**All of the above

**Solution- 4. All of the above**

**Q:7.** Types of RNN are:

**1.**LSTM

**2.**Boltzman machine

**3.**Hopfield network

**4.**a and b

**Solution- 4. a and b**

**Q:8.** What is perceptron?

**1.**a single layer feed-forward neural network with pre-processing

**2.**an auto-associative neural network

**3.**a double layer auto-associative neural network

**4.**a neural network that contains feedb

**Solution- 1. a single layer feed-forward neural network with pre-processing**

**Q:9.** Which of the following architecture has feedback connections?

**1.**Recurrent Neural network

**2.**Convolutional Neural Network

**3.**Restricted Boltzmann Machine

**4.**None of these

**Solution- 2.Convolutional Neural Network**

**Q:10.** Bidirectional RNN:

**1.**Trained to predict both the positive and negative directions of time simultaneously.

**2.**Applications are speech recognition, handwritten recognition etc.

**3.**After forward and backward passes are done, the weights are updated

**4.**All the above

**Solution- 4. All the above**

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