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# MINIST-Dataset-Classification | ||
# MINIST-Dataset-Classification | ||
This task focuses on training the MINIST dataset to get a feel for the differences between fully connected networks, neural networks, and the effects of different activation functions, training techniques (BN, Dropout, and L2 regularization) on the network. | ||
本次任务主要是通过对MINIST数据集进行训练来感受全连接网络、神经网络的差异,以及不同激活函数、训练技巧(BN,Dropout以及L2正则化)对网络的影响。 |