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Welcome to your Artificial Intelligence Quiz
The area of AI that investigates methods of facilitating communication between people and computers is:
Natural language processing
The network that involves backward links from output to the input and hidden layers is called
Recurrent neural network
What are the two layers of a Restricted Boltzmann Machine called?
Input and Output Layers
Recurrent and Convolution Layers
Activation and Threshold Layers
Hidden and Visible Layers
Which is a recommended Model for Pattern Recognition in Unlabeled Data.
Shallow Neural Networks
Autoencoders are trained using
They do not require Training
All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.
Which of the following provides a high-level API which makes neural network building and training fast and easy.
What tasks can AI perform?
Act as virtual assistants
Automate manual process
All the above
Software designed to facilitate a conversation between a computer and a human end-user is called a
Interactive voice assistants
What does a neuron compute?
A neuron computes an activation function followed by a linear function (z = Wx + b)
A neuron computes a linear function (z = Wx + b) followed by an activation function
A neuron computes a function g that scales the input x linearly (Wx + b)
A neuron computes the mean of all features before applying the output to an activation function
What is unsupervised learning?
features of group explicitly stated
number of groups may be known
neither feature & nor the number of groups is known
none of the mentioned
What is plasticity in neural networks?
input pattern keeps on changing
input pattern has become static
output pattern keeps on changing
output is static
Keras is a deep learning framework on which tool
What is the meaning of model=sequential() in Keras?
No such code in Keras
Keras should be used only for sequential models like RNNs
Keras builds sequential models
creates a computational graph
Which of the following is well suited for perceptual tasks?
Feed-forward neural networks
Recurrent neural networks
Convolutional neural networks
Time is Up!