Neural Network
Assessment
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Kiruthika R
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Computers
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9th - 10th Grade
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620 plays
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Medium
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10 questions
Show answers
1.
Multiple Choice
_________ type of model, the algorithm learns from a dataset which is labelled, and the algorithm uses the answer keys to evaluate its accuracy on the training data.
Supervised learning
UnSupervised learning
Reinforcement learning
2.
Multiple Choice
In this type of model, the algorithms work towards accomplishing the goal or try to improve the performance in a particular task. This is used in gaming.
Reinforcement learning
Supervised Learning
UnSupervised Learning
3.
Multiple Choice
•In this type of model, the algorithm learns and makes sense by extracting features/patterns from the unlabelled dataset provided (The system will evaluate by itself)
Unsupervised learning
supervised learning
Reinforcement learning
4.
Multiple Choice
Information flows from
Input layer -> Hidden Layer-> Output layer
Feedforward Network
Backpropagation
5.
Multiple Choice
Every Artificial Neural must have at least ______
two layers.
three layers.
four layers.
6.
Multiple Choice
The neurons in the human brain regularly change their threshold.
True
False
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