Used concepts of knowledge distillation and hint based training to train a thin but deep student network assisted by a pre- trained wide but shallow teacher network. Built a Convolutional Neural Network using Python Achieved 0.28% improvement over the original work of Romero, Adriana, et al. in "Fitnets: Hints for thin deep nets."
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- Python 100.0%