记忆网络 英语是什么意思 - 英语翻译

• memory networks
• memory network

在 中文 中使用 记忆网络 的示例及其翻译为 英语

记忆网络.
The Memory Networks.

介绍深度学习和长期记忆网络.
Introducing deep learning and long-short term memory networks.

长短期记忆网络.
Long short term memory network.

长短期记忆网络结构.
Long term short term memory network WEB.

长短期记忆网络.
Long term short term memory network WEB.

长短期记忆网络LSTM是RNN的一种变体，可解决前者的长期记忆问题。
Long-Short Term Memory networks or LSTMs are a variant of RNN that solve the Long term memory problem of the former.

首先，我们的祖先是在人类群体中进化而来的，这是一种点对点式的记忆网络。
For one, our ancestors evolved within groups of other humans, a kind of peer-to-peer memory network.

LSTM网络长短期记忆网络--通常也被简称为LSTMs--是一种特殊类型的RNN，能够学习长期的依赖关系。
Long Short Term Memory networks- usually called“LSTMs”- are a special kind of RNN, capable of learning long-term dependencies.

它与关注模型、记忆网络和其他的技术一起，形成了第三波的进展。
Together with attention models, memory networks, and other techniques, this era comprised the third wave of progress.

而这正是长短期记忆网络（LSTM）派上用场的地方，LSTM能帮助我们处理不能被先验知道的序列。
Here is where long short-term memory networks(lstms) come into play, helping us to work with sequences whose length we can't know a priori.

其一是我们高效而迅速地使用记忆网络的能力，由计划和执行的功能所驱使。
One is the ability to use our memory networks efficiently and rapidly, propelled by our ability to plan and execute.

例如，端到端记忆网络多次处理输入，并更新记忆以实现多个推理步骤。
For instance, End-to-end Memory Networks process the input multiple times and update the memory to enable multiple steps of inference.

长短期记忆网络--通常被称为LSTM，是一种特殊的RNN，能够学习长期依赖性。
Long Short Term Memory networks- usually just called“LSTMs”- are a special kind of RNN, capable of learning long-term dependencies.

长短期记忆网络--通常简称为“LSTMs”--是一种特别的RNN，能够学习到长期依赖。
Long Short Term Memory networks,“LSTMs”- are a special kind of RNN, capable of learning long-term dependencies.

我们大多数人不需要知道这些事情，因为我们是社会心理学家所谓的“互动记忆网络”的成员。
Most of us don't need to know these things because we are members of what social psychologists call"transactive memory networks.".

我还会讨论其变种，包括，端到端记忆网络以及键值记忆网络。
I will also talk about their subsequently proposed variants, including, End2End Memory Networks and Key Value Memory Networks.

在学习新知识后，睡一觉往往会重新组织这些信息的储存和处理方式，将它们从短期记忆转移到长期记忆网络。
Sleeping after learning new information tends to reorganize how this information is stored and processed, moving it from short-term to long-term memory networks.

我们将教授你如何训练和优化基本神经网络、卷积神经网络和长短期记忆网络。
You will learn how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks.

有关使用深度学习为开发认知IoT解决方案检测异常的更多信息，请参阅深度学习和长短期记忆网络简介。
For more information on developing cognitive IoT solutions for anomaly detection by using deep learning, see Introducing deep learning and long-short term memory networks.

课程概述中说：我们将教授你如何训练和优化基本神经网络、卷积神经网络和长短期记忆网络。
This program teaches the students how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks.

我们通过全球培训长期短期记忆网络（LSTM）来实现这一目标，该长期记忆网络利用了电子商务产品分类层次结构中可用的非线性需求关系。
We achieve this by globally training a Long Short-Term Memory network(LSTM) that exploits the non-linear demand relationships available in an E-commerce product assortment hierarchy.

端到记忆网络.
End2End Memory Networks.

基于长短期记忆网络的波高预报.
New section on Long Short-Term Memory Networks.

创建一个记忆网络（根据故事回答问题）.
Build a memory network(for question answering based on stories).

实践中，长短期记忆网络（LSTM）更常用。
In practice, the Long Short-Term Memory(LSTM) network is more frequently used.

微分记忆模块（differentiablememorymodules）强化的循环神经网络（例如记忆网络：.
Recurrent neural nets augmented with differentiable memory modules e.g. Memory Networks:.