Project Overview: The project aims to provide trainees with practical experience in deep learning techniques for
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The project aims to provide trainees with practical experience in deep learning techniques for handwritten digit recognition using the MNIST dataset. Trainees will explore various aspects of deep learning, including model design, hyperparameter tuning, addressing overfitting, feature transformation, and visualization techniques.
Group members: Maximum three members allowed
Dataset: MNIST Dataset
The MNIST dataset is a well-known benchmark dataset in the field of machine learning, consisting of 28×28 pixel grayscale images of handwritten digits (0 to 9).
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