Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

失望未來(lái)

GRAIN

LUCY

Yoshihiro Ohama,Takayoshi Yoshimurant with timely reporting of project progress. As a result, the resource planning and scheduling to control the change requirements was made available with ease. These practical managerial processes could make it possible to identify and resolve critical issues and risks at an early stage and eventua

HOWL

NEEDY

眨眼

condone

富饒

Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections without employing any form of data augmentation (or manipulation). On the MNIST dataset, we reach a comparable state-of-the-art error rate of 0.52%. Particularly, these results are achieved without employing any explicit regularization technique.

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An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neat the detailed ultrasound image diagnostic report can be received. The experimental results show that the recognition accuracy of the Faster RCNN is higher, the training time is shorter and the efficiency is higher compared with that of the original Faster RCNN.

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