The Effect of Batch Normalization on Deep Convolutional Neural Networks
Batch normalization is a recently popularized method for accelerating the training of deep feed-forward neural networks. Apart from speed improvements, the technique reportedly enables the use of higher learning rates, less careful parameter initialization, and saturating nonlinearities. The authors...
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| Format: | Others |
| Language: | English |
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KTH, Centrum för Autonoma System, CAS
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191222 |