Explore Online Courses
Free Courses
Hire from us
Become an Instructor
Reviews
Community
All Courses
Take the Free Practice Test
Instructions:
FREE test and can be attempted multiple times.
30 Minutes
15 Multiple Choice Questions
Fill in the Details to Get Started
Select your preference
Self-learning and knowledge validation
Completed a course & revising
Just curious
By providing your contact details, you agree to our
Terms of Use
&
Privacy Policy
Welcome to your Artificial Intelligence Quiz
The area of AI that investigates methods of facilitating communication between people and computers is:
Natural language processing
Symbolic processing
Decision Support
Robotics
The network that involves backward links from output to the input and hidden layers is called
Self-organizing maps
Perceptrons
Recurrent neural network
Multi-layered perceptron
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.
CNN
Shallow Neural Networks
Autoencoders
RNN
Autoencoders are trained using
Feed Forward
Reconstruction
Back Propagation
They do not require Training
All the Visible Layers in a Restricted Boltzmann Machine are connected to each other.
True
False
Which of the following provides a high-level API which makes neural network building and training fast and easy.
TensorLayer
TFLearn
PrettyTensor
Sonnet
What tasks can AI perform?
Act as virtual assistants
Generate ideas
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
Real-time messaging
Walkie Talkie
Chatbot
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
R
TensorFlow
SAS
Azure
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
Reinforcement Learning
Time is Up!