By combining Internet of Things(IoT) and deep learning technology, ConnectedLife continuously collects motion data to objectively monitor motor symptoms of Parkinson's Disease patients.
显然,想要解决机器与深度学习的问题,我们首先需要了解人类大脑的神经网络。
Obviously, for machine and deep learning to work, we needed an established understanding of the neural networks of the human brain.
Kumar的研究成果虽具有开创性,也呼吁在医学领域运用人工智能与深度学习之际要保有耐心。
As groundbreaking as his work is,Kumar urges patience when it comes to applying AI and deep learning in the medical field.
AndrewNG深度学习课程笔记:神经网络、有监督学习与深度学习.
Notes on Andrew NG's deep learning course: neural network,supervised learningand deep learning.
那么,机器能够如何处理与深度学习相关的技能呢?
So, what will a machine beable to do with the type of skills associated with deep learning?
在本文中,我们对机器学习与深度学习的区别作出了简要概述。
In the table below, we summarize the difference between machine learning and deep learning.
与深度学习相关的许多论文、数据集、以及软件工具都已经被开源了。
Many of the papers, data sets,and software tools related to deep learning have been open sourced.
与深度学习一样,也有其他公司在开发量子计算技术。
Much like deep learning, there are other companies competing in the quantum computing space.
Facebook的团队把游戏理论与深度学习结合起来,让机器与人类进行谈判。
Facebooks team smashed game theory together with deep learning to equip machines to negotiate with humans.
Zhavaronkov表示,他认为人工智能与深度学习将通过药物发现及根除疾病等方式彻底改变世界。
Zhavaronkov said he believes that AI and deep learning will change the world through drug discoveryand the eradication of disease.
她从计算机科学中获得启发,并与深度学习,情感和图像识别软件一起工作。
She finds inspiration from the computer science and works with deep learning, emotion and image recognition software.
当前,人工智能的进步主要与扩展深度学习模型以及创建具有更多层和参数的神经网络有关。
Currently, advances in AI is mostly tied to scaling deep learning models and creating neural networks with more layers and parameters.
主要想法是将经典信号处理与深度学习相结合来创造一个又小又快的实时噪声抑制算法。
The main ideais to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast.
它支持将近30种语言,可以方便地与深度学习集成,并保证健壮性和高准确率。
It supports almost 30 languages, provides easy deep learning integration and promises robustness and high accuracy.
他的演讲主题是《通过将物理模型与深度学习相结合来解决多尺度问题》。
He gave a speech entitled SolvingMultiscale Problems by Integrating Physical Models with Deep Learning.
机器学习技术也普遍用于对象识别,并且提供与深度学习不同的方法。
Machine learning techniques are also popular for object recognition andoffer different approaches than deep learning.
图3.将对车辆进行分类的机器学习方法(左)与深度学习(右)进行比较。
Comparing a machine learning approach to categorizing vehicles(left) with deep learning(right).
This course was formed in 2017 as a merger of the earlier CS224n(Natural Language Processing)and CS224d(Natural Language Processing with Deep Learning) courses.
微软提出的一种方法是将基于树的模型与深度学习结合起来。
Microsoft has an approach that melds the tree based models with Deep Learning.
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