Newton Methods for Convolutional Neural Networks
نویسندگان
چکیده
منابع مشابه
Distributed Newton Methods for Deep Neural Networks
Deep learning involves a difficult non-convex optimization problem with a large number of weights between any two adjacent layers of a deep structure. To handle large data sets or complicated networks, distributed training is needed, but the calculation of function, gradient, and Hessian is expensive. In particular, the communication and the synchronization cost may become a bottleneck. In this...
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ژورنال
عنوان ژورنال: ACM Transactions on Intelligent Systems and Technology
سال: 2020
ISSN: 2157-6904,2157-6912
DOI: 10.1145/3368271