深度学习网络 - 翻译成英语

deep learning networks
deep-learning networks
deep learning network

在 中文 中使用 深度学习网络 的示例及其翻译为 英语

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深度学习网络没有“理解”和处理时间概念的机制或特性!
A DL net does not have a mechanism or feature to"understand" and process the concept of time!
深度学习网络从每个呼吸样本中学到的知识越来越多,直到他们能够识别显示呼吸中特定化合物的特定模式。
The deep learning networks learned more and more from each breath sample until they could recognize specific patterns that revealed specific compounds in the breath.”.
显然,深度学习网络的整体结构也对计算成本和工作量产生重大影响。
Obviously, the overall structure of the DL network has also a major impact on computing costs and efforts.
深度学习网络通过发现经验数据中错综复杂的结构进行学习。
Deep learning networks learn by discovering intricate structures in the data they experience.
深度学习网络领先的实践者FrancoisChollet下结论说:“你没法靠扩展如今的深度学习技术实现一般人工智能。
Francois Chollet, a leading practitioner of deep learning networks, has concluded,“You cannot achieve general intelligence simply by scaling up today's deep learning techniques.”.
然后他们使用这些数据来训练深度学习网络来识别模拟老鼠的位置。
They then used these data to train the deep-learning networks to recognize the position of the simulated rats.
但它们在深度学习网络方面表现优异,而深度学习正迅速成为这十年的技术发力点。
But they are great for deep learning networks and those are quickly becoming the flavor of the decade.
几年前,GPU之所以在市场上脱颖而出,正是因为他们大大削减了深度学习网络的训练时间。
A few years ago, GPUs took off because they cut the training time for a deep learning network from months to days.
深度学习网络能分析复杂的资料集(Dataset),并在早期发现(EarlyDetection)、治疗规划(TreatmentPlanning)及疾病监测(DiseaseMonitoring)等领域提供丰富的洞察力。
Deep learning networks can analyze complex datasets and provide rich insights in areas such as early detection, treatment planning, and disease monitoring.
近年来,人工智能研究人员已经开发并调整了深度学习网络--分层的程序,可以提出新颖的解决方案来实现他们指定的目标。
In recent years, AI researchers have developed and fine-tuned deep-learning networks- layered programs that can come up with novel solutions to achieve their assigned goal.
在2019年的I/O大会上,谷歌公布了一个名为TCAV的系统,可作为深度学习网络的“扯淡探测器”。
At its 2019 I/O conference, Google unveiled a system called TCAV that acts as a kind of“bullshit detector” for deep-learning networks.
通过一个“选择”项目,用户可以选择与REVL分享数据,这将有助于训练深度学习网络,为Arc的见解提供支持。
Through an‘opt-in' program, users can choose to share data with REVL that will help train the deep learning network powering the Arc's insights.
深度学习网络仍然不透明。
Deep learning networks remain opaque.".
这限制了深度学习网络的应用类型。
This limits the type of applications where deep learning networks can be applied.
受限玻兹曼机也可被用于深度学习网络
Restricted Boltzmann machines can also be used in deep learning networks.
两者都是深度学习网络,能自动生成语音。
They are both are Deep Learning networks that generate voice automatically.
外面有人在构建非常好的深度学习网络
There are people out there building deep learning networks that are very good.
两者都是自动生成语音的深度学习网络
They are both are Deep Learning networks that generate voice automatically.
受限制的玻尔兹曼机器也可用于深度学习网络
Restricted Boltzmann machines can also be used in deep learning networks.
它为快速开发深度学习网络提供了多种算法。
It offers numerous algorithms for faster development of deep learning networks.
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