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ADDIS ABABA SCIENCE AND TECHNOLOGY UNIVERSITYDEVELOPING BACTERIAL WILT DETECTION
MODEL ON ENSET CROP USING A DEEP
LEARNING APPROACH
By
YIDNEKACHEW KIB RU ARTWORK Thesis Submitted as a Partial Fulfillment
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What is a deep learning approach?
A deep learning approach is a type of machine learning method that consists of artificial neural networks with multiple layers.
Who is required to file a deep learning approach?
Researchers, data scientists, and developers who are working on implementing deep learning models are required to file a deep learning approach.
How to fill out a deep learning approach?
To fill out a deep learning approach, one needs to provide a detailed description of the neural network architecture, training data, optimization algorithms, and evaluation metrics.
What is the purpose of a deep learning approach?
The purpose of a deep learning approach is to train models to learn patterns from data and make predictions or decisions without being explicitly programmed.
What information must be reported on a deep learning approach?
Information such as the dataset used, model architecture, hyperparameters, training process, and evaluation results must be reported on a deep learning approach.
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