- Choose a real-world dataset that is available online. You can obtain your dataset from Kaggle, UCI Machine Learning Repository, or other sources that you can find.
- Understand the dataset.
- Identify the purpose of applying a neural network on the dataset.
- Discuss the neural network architecture to be constructed.
- Construct, train, and test the neural network on the dataset.
- Discuss the results.
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