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4. Assertion (A): Reinforcement Learning is a type of machine learning where a model learns through trial and error
to make the best decisions in a given environment.
Reasoning (R): In Reinforcement Learning, the agent interacts with the environment, receives feedback in the form
of rewards or penalties, and improves its actions based on that feedback.
5. Assertion (A): The Rule-based Approach is one of the earliest and simplest methods of implementing artificial
intelligence.
Reasoning (R): In the Rule-based Approach, decisions are made based on a set of predefined rules that dictate the
system’s actions.
6. Assertion (A): A Neural Network is divided into multiple layers, each further divided into nodes.
Reasoning (R): Nodes perform tasks and pass the results to the next layer.
7. Assertion (A): Regression is a mathematical approach to find a relationship between two or more variables.
Reasoning (R): Regression works with continuous data.
21 st Century #Technology Literacy
Skills #Media Literacy
Lab
1. Using the link below, experiment with adjusting different parameters like learning rate, number of neurons,
activation functions, etc., to observe how the model's performance changes.
https://playground.tensorflow.org/
Now, summarise what you learned about the role of each component in the network (e.g.,
activation functions, hidden layers, learning rate).
2. Create an Audio Project using the tool.
https://teachablemachine.withgoogle.com/
Teachable Machine is a web-based tool that helps create machine learning models
easily, fast and accessible to everyone. The tool allows you to create your own project of Image or
Audio or Pose. Once your project is ready you can share, download or upload your project code.
3. Using the link below, experiment with creating some music using those sounds. It’s great
fun, try it.
https://experiments.withgoogle.com/ai/drum-machine/view/
Infinite Drum Machine AI tool is a collection of naturally present sounds from all over the world like the
chirping of birds, noise of an airplane, barking of dogs, ambulance siren, playing of drums, etc.
Answers
Exercise (Section A)
A. 1. b. 2. d. 3. b. 4. b. 5. c. 6. c. 7. b. 8. d. 9. c. 10. b.
B. 1. learning-based 2. historical 3. Clustering 4. Regression
5. nodes 6. large 7. machine learning 8. Deep
140 Artificial Intelligence Play (Ver 1.0)-X

