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DDC-transfer-learning
DDC-transfer-learning PublicForked from syorami/DDC-transfer-learning
A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
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MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
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BatchNormalization_Keras
BatchNormalization_Keras PublicForked from Tony607/BatchNormalization_Keras
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prototypical-networks
prototypical-networks PublicForked from jakesnell/prototypical-networks
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LearningToCompare_FSL
LearningToCompare_FSL PublicForked from floodsung/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
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