的深度学习模型 - 翻译成英语

• deep learning models
• deep-learning model
• deep learning model
• deep-learning models

在 中文 中使用 的深度学习模型 的示例及其翻译为 英语

ApacheMXNet是一个功能全面，且具有高度可扩展性的深度学习框架，可支持创建和训练最新型的深度学习模型。
Apache MXNet(incubating) is a full-featured, highly scalable deep learning framework that supports creating and training state-of-the-art deep learning models.

但所有的深度学习模型都需要大量的数据来训练AI识别相关的模式。
But any deep learning model needs a lot of data to train the AI in recognizing related patterns.

这就是我们想要表达的意涵，在这个课程中，我们会教你最先进的深度学习模型和技术。
That's what we mean when we say that in this course we teach you the most cutting edge Deep Learning models and techniques.

当你在Keras中选择好最合适的深度学习模型，就可以用它在新的数据实例上做预测了。
Once you choose and fit a final deep learning model in Keras, you can use it to make predictions on new data instances.

作为这项研究的重要组成部分，我们最近开发出一套新的库，用于训练基于Pytorch的深度学习模型--这就是fastai。
As part of this research we recently developed a new library for training deep learning models based on Pytorch, called fastai.

我们甚至会说，你将创建最接近“人工智能”的深度学习模型。
We will even go as far as saying that you will create the Deep Learning model closest to“Artificial Intelligence”.

使用通过云提供的广泛的按需资源，您可以部署几乎无限的资源来处理任何规模的深度学习模型。
With the wide range of on-demand resources available through the cloud, you can deploy virtually unlimited resources to tackle deep learning models of any size.

他利用这种洞察力设计了一个GPU加速的深度学习模型来自动标记图像。
He used that insight to design a GPU-accelerated deep learning model to label images automatically.

TensorFlow的灵活架构使我们能够在一个或者多个CPU（以及GPU）上部署我们的深度学习模型。
The flexible architecture of TensorFlow enables users to deploy deep learning models on one or more CPUs(as well as GPUs).

但是要提取有关组织学等级或癌细胞生长的信息，将需要训练一个单独的深度学习模型。
But extracting information on the histological grade, or growth of cancer cells, would require training a separate deep learning model.

IBMCodeModelAsseteXchange(MAX)是一站式交流平台，开发人员可在此查找和使用免费的开源深度学习模型。
IBM Code Model Asset eXchange(MAX) is a one-stop place for developers to find and use free and open source deep learning models.

的确，我们需要大量的数据来训练一个典型的深度学习模型。
It is true that we need a large amount of data to train a typical deep learning model.

在这样一个恒定速率进行着的大量研究在以史上未有的速度展现新的和创新的深度学习模型。
The vast research being produced at such a constant rate is revealing new and innovative deep learning models at an ever-increasing pace.

Chattermill会将所有的反馈进行核对，并“建立一个专门的深度学习模型，以提取具有操作性的见解”。
Specifically, Chattermill collates all feedback channels in one place and then“builds a customised deep learning model to extract easily actionable insight”.

此外，其它不同类型的深度学习模型，比如循环神经网络也许能在这个任务中达到更好的结果。
Furthermore, different types of deep learning models, such as recurrent neural networks might achieve better performance on this task.

我们将在本文中构建的深度学习模型称为双编码器LSTM网络（DualEncoderLSTMNetwork）。
The Deep Learning model we will build in this post is called a Dual Encoder LSTM network.

透过应用你的深度学习模型，银行可能会大大减少客户流失。
By applying my Deep Learning model the bank may significantly reduce customer churn.

这些模型本身可能相当大，特别是典型的具有无数参数和权重值过滤器的深度学习模型。
These models themselves can be quite large, especially for deep learning models with typically thousands of parameters and weight values of filters.

由于非线性过程的原因，目前正在开发和部署的许多深度学习模型无法得到真正的理解。
Many of the deep learning models being developed and deployed today cannot be genuinely understood due to the nature of non-linear processes.

英特尔还承认，它的神经形态芯片在某些类型的深度学习模型上表现不佳。
Intel has also admitted that its neuromorphic chip wouldn't do well with some types of deep-learning models.