发明名称 |
TRAINING METHOD AND APPARATUS FOR NEURAL NETWORK FOR IMAGE RECOGNITION |
摘要 |
A training method and a training apparatus for a neutral network for image recognition are provided. The method includes: representing a sample image as a point set in a high-dimensional space, a size of the high-dimensional space being a size of space domain of the sample image multiplied by a size of intensity domain of the sample image; generating a first random perturbation matrix having a same size as the high-dimensional space; smoothing the first random perturbation matrix; perturbing the point set in the high-dimensional space using the smoothed first random perturbation matrix to obtain a perturbed point set; and training the neutral network using the perturbed point set as a new sample. With the training method and the training apparatus for the neutral network for image recognition, classification performance of a conventional convolutional neural network is improved, thereby generating more training samples, reducing influence of overfitting, and enhancing generalization performance of the convolutional neural network. |
申请公布号 |
EP3139310(A1) |
申请公布日期 |
2017.03.08 |
申请号 |
EP20160179423 |
申请日期 |
2016.07.14 |
申请人 |
FUJITSU LIMITED |
发明人 |
Chen, Li;Wang, Song;Fan, Wei;Sun, Jun;Satoshi, Naoi |
分类号 |
G06K9/62 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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