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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.
In Life 21 st Century #Critical Thinking
Skills
In what ways do Deep Learning and Natural Language Processing revolutionize communication, from voice
assistants to healthcare diagnostics, improving efficiency and accessibility?
Deep Thinking 21 st Century #Critical Thinking
Skills
Imagine a scenario in which you have been assigned the task to create a robot which would serve as a security
in-charge of your school. The robot can think on its own and can take independent decisions. But, before you
can start testing your robot in the school, you have to pass a test which shows that your robot won't pose a
threat to the students of your school. What do you think would be the hurdles that your robot needs to clear
before it is ready?
#Technology Literacy
21 st Century
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).
216 Touchpad Artificial Intelligence (Ver. 3.0)-X

