神经网络 in English translation

深度神经网络.

A Deep Neural Network.

创造一种新型的神经网络?

Inventing a new kind of neural network?

深度学习使用神经网络来解决问题。

Deep Learning uses the neural network to solve problems.

本教程使用神经网络来解决鸢尾花I分类问题。

This tutorial uses a neural network to solve the Iris classification problem.

摘要：什么时候以及为什么能够成功地训练神经网络?

When and why can a neural network be successfully trained?

Atomwise主要关注于利用深度学习神经网络来发现新的药物。

Atomwise uses Deep Learning Neural Networks to discover new medicines.

传输网络可以看作是将核心网络连接到服务的"神经网络"。

Transport networks are described as“neural networks” that connect core networks to services.

除了深层神经网络外，浅层模型也是实用且广受欢迎的工具。

Besides deep neural networks, shallow models are also popular and useful tools.

这种攻击的缺点是智能手表的计算能力还不足以实现神经网络;

The disadvantage of such an attack is that the computing power of smartwatches is not yet sufficient to implement a neural network;

这个工具毫无疑问地是使用神经网络来处理非结构化数据的大数据集。

This tool is unquestionably meant to use neural networks to go through large datasets of unstructured data.

最流行的应用之一是谷歌的QuickDraw，使用神经网络来识别你的涂鸦。

Among the most popular applications was Google's QuickDraw, which uses a neural network to recognize your doodles.

因此在本次研究当中，DeepMind方面利用神经网络来完成以下两项任务。

So in this research, DeepMind used neural networks to do both of these tasks.

第三部分：介绍如何使用遗传算法（GA）来训练多层神经网络来解决一些逻辑问题.

Part 3: Will be about how to use a genetic algorithm(GA) to train a multi layer neural network to solve some logic problem.

现在，加州大学圣地亚哥分校的研究人员正在训练人工神经网络来预测新的稳定材料。

Scientists at the University of California San Diego are coaching artificial neural networks to predict new stable materials.

而包含长串规则的MLN可以表示深度神经网络，在规则串中，每层会有一个链接。

And an MLN with long chains of rules can represent a deep neural network, with one layer per link in the chain.

Q学习中的智慧是使用一个深层神经网络来近似得到一个所谓的Q函数。

The stroke of wit in Q-learning is to use a deep neural network to approximate a so-called Q-function.

物联网是一种普遍的"空中圈圈神经网络"，将触及我们生活中的各个方面。

A sort of“universal global neural network” in the Cloud will encompass every aspect of our lives.

新的工作负载基于两种场景：(1)针对特定工作负载(例如图像或语音识别)训练大型神经网络;

The new workloads are based on two scenarios:(1) training the large neural network on a specific workload, such as image or voice recognition;

随着您的发展，您将了解AmazonWeb服务(AWS)，并创建一个深度神经网络来解决视频操作识别问题。

As you advance you will learn about Amazon Web Services(AWS) and create a deep neural network to solve a video action recognition problem.

观看关于如何使用MATLAB®、一个简单的网络摄像头和一个深度神经网络来识别周围物体的快速演示。

Watch a quick demonstration of how to use MATLAB®, a simple webcam, and a deep neural network to identify objects in your surroundings.

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