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Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient.
Thomas Cherico Wanger
Peter Frohn
Published in:
CoRR (2018)
Keyphrases
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neural network training
input image
image classification
image data
image features
multiscale
image retrieval
image segmentation
neural network
training algorithm
data sets
search algorithm
training process