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Project Deep Learner DESIGN DOCUMENT Senior Design Team 10 Dr. Diane Rover Jose Carlos Garcia Benito Meekly Jazzy Jacobus Caleb Defoe sdmay2310@iastate.edu https://sdmay2310.sd.ece.iastate.edu Revised:
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Identify the goal of the project and what data is needed for training the deep learner.
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Collect and preprocess the data to be used in the project.
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Choose and implement a deep learning model that suits the project requirements.
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Train the deep learner using the preprocessed data.
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Evaluate the performance of the trained deep learner and make any necessary adjustments.
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Researchers conducting studies in artificial intelligence and machine learning.
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Companies looking to implement deep learning solutions for various applications such as image recognition, natural language processing, and predictive analytics.
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Project Deep Learner is an initiative aimed at improving machine learning and artificial intelligence applications through enhanced data analysis and algorithm development.
To fill out Project Deep Learner, stakeholders must complete a standardized application form detailing their project goals, methodologies, expected outcomes, and ethical considerations.
Information that must be reported includes project objectives, methodologies, team composition, funding sources, potential risks, and anticipated societal impacts.
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