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Q1. Represent the following problem solution with the help of an RNN:

You want to wear colorful clothes based on your mood and the weather. You have different colors of clothes: black, white, gray, and pink. The weather can be sunny or windy.

What will be the inputs and outputs of this problem?

You prefer to wear clothes in alphabetical order, so if you wore white yesterday, you want to wear black the next day.

Draw an RNN to solve the following scenarios:

- If today is windy and I wore color X, I will try to wear color X again the next day.
- If today is sunny and I wore color X, I will try to wear color Y (the next color alphabetically after X) the next day.

Test your RNN with inputs and outputs in a workable manner.

Answer :

To represent the problem with a RNN, the inputs include the weather condition (windy or sunny) and the color of the cloth worn today. The output is the color of cloth to be worn tomorrow, based on certain rules. A simple RNN architecture with two input nodes and one output node can be used to solve this problem.

To represent the given problem with a Recurrent Neural Network (RNN), we can define the inputs and outputs as follows:

Inputs:

  1. The weather condition (windy or sunny)
  2. The color of the cloth worn today (black, white, gray, pink)

Outputs:

The color of cloth to be worn tomorrow, based on the rules given in the problem.

Learn more about Recurrent Neural Network at https://brainly.com/question/33432894

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