1、

Andrej Karpathy, a PhD student at Stanford working on Deep Learning, decided to use a powerful, 140-million-parameter state-of-the-art Convolutional Neural Network to help work out why some selfies are more popular than other.

安德雷·卡帕西,斯坦福一个研究计算机深度学习的博士生,决定使用包含1.4亿个参数的强大卷积神经网络来研究为何有的自拍更受欢迎。

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2、

Path Planning for Deep-sea Mineral Collector Based on Fuzzy Neural Network

基于模糊神经网络的深海集矿机路径规划

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3、

application of artificial neural network model to soil-nail wall support in deep foundation pit

人工神经网络模型在深基坑土钉墙支护的应用

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4、

utilizing three kinds of prediction models and bp neural network method the ultimate bearing capacity of composite foundation of deep-layered agitating piles is estimated. results show the later method is good in ultimate bearing capacity prediction.

利用三种预测模型和BP神经网络法对收集到的实例的极限承载力进行了预测,发现神经网络法在天津市塘沽区深层搅拌复合地基极限承载力预测中效果最好。

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5、

the team developed a deep artificial neural network ( ann), trained on a database of existing three-body problems, plus a selection of solutions that have already been painstakingly worked out.

该团队开发了一种深度人工神经网络(ANN),它以现有的三体问题数据库和研究人员选出的精心制定的解决方案来进行训练。

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6、

secondly, in view of the temperature of supercritical co2 dyeing equipment i build the neural network modeling and have deep research on the neural network predictive control algorithm.

其次,对超临界染色装置温度对象神经网络建模,并深入研究了神经网络预测控制算法。

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7、

The-time identification via neural network is an important subject in intellectual deep drawing of sheet metal.

运用神经网络技术实现材料性能参数的 实时 识别是智能化拉深的重要研究课题.

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