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Develop a neural network model which classify cars, trucks and cats, while dealing with imbalanced dataset. In addition, generate an adversarial image that designed to deceive the trained model.

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Imbalanced-Data

Goal:
Develop a neural network model which classify cars, trucks and cats, while dealing with imbalanced dataset.
In addition, generate an adversarial image that designed to deceive the trained model.

More details in Report.pdf (Hebrew)

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Develop a neural network model which classify cars, trucks and cats, while dealing with imbalanced dataset. In addition, generate an adversarial image that designed to deceive the trained model.

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