Develop a deep learning model.

Develop a deep learning model by first defining the problem you aim to solve. Identify the type of data required, whether it's images, text, or numerical data. Collect and preprocess the dataset to ensure it's clean and relevant. Split the data into training, validation, and test sets to evaluate the model performance and avoid overfitting.