The interactive color animations and the on-line textbook were made possible by a grant from the Sloan Foundation under their program supporting ALN, Asychronous Learning Networks.
本课程网页包含的互动彩色动画及线上教科书经“史隆基金会”经费补助,并由其旗下“非同步学习网路”计画之授权。
Campusbug - One of the original social learning networks, Campusbug provides students and lifelong learners with tools they can use to network and educate themselves on a variety of topics.
Campusbug- Campusbug是最早的几个社交学习网站之一。它提供了很多学习工具,学生和终生学习者们可以利用这些工具在众多主题下进行网络交流和学习。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
这种学习可以使用神经网络或者支持向量机,不过用决策树也可以实现类似的功能。
Learning requires the brain to create new neural networks.
学习需要大脑去创造神经网络。
Supervised learning is the most common technique for training neural networks and decision trees.
监督学习是训练神经网络和决策树的最常见技术。
This type of learning could probably be carried out with neural networks, though it is hard to imagine that the problem is simple enough for decision trees.
这种类型的学习通常交给神经网络来完成,虽然很难想象,但用决策树来完成这类问题也很简单。
Social networks as learning management systems
社会网络作为学习管理系统
Members of social networks, for instance, are learning that they can hijack media to apply pressure on the businesses that originally created them。
比如,社交网络用户正领悟到,他们可以通过“劫持”媒介来对最初创建该媒介的企业施加压力。
Along with lacking experience generally, they're still learning to use their brain's new networks. Stress, fatigue, or challenges can cause a misfire.
除了普遍缺乏经验,他们也在学习如何使用大脑新的网络系统,紧张,疲劳,压力还是可能会使他们不知所措。
I think that over all we'll see how resilient and quick-learning these networks have become.
我认为,最终我们会看到这个网络会变得适应的多么快、多么好。
Along with lacking experience generally, they're still learning to use their brain's new networks.
他们普遍缺乏经验,还在学习如何使用大脑的新神经网络。
It is interesting to note that Neural Networks is an evolution of learning-oriented estimation, in which the method algorithm is trained to behave like a human expert.
有意思的是,神经网络是一种对学习型评估的进化,算法经过训练后其行为就像是一个人类专家。
With social networks or social games, we're learning more about people.
有了社交网络和社交游戏,我们对人的了解越来越深了。
This book will teach you many of the core concepts behind neural networks and deep learning.
这本书将告诉你许多神经网络与深度学习后面的核心概念。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
由于小波变换能有效地提取字符的结构特征,自适应共振(art)网络有很好的学习能力。
In this class, we investigate the connection between networks for learning and the approximation scheme described so far.
在这堂课里,我们要认识到目前为止有关学习网络和近似值理论两者前后关系的研究。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
在完成本书的学习后,你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
由于这些变量具有非线性时间序列数据,用人工神经网络(ANN)将使用反向传播算法作为学习算法。
What's more, we'll improve the program through many iterations, gradually incorporating more and more of the core ideas about neural networks and deep learning.
更进一步,我们将通过多次迭代来提升这个程序的效果,逐渐触及越来越多神经网络与深度学习的核心概念。
The purpose of this book is to help you master the core concepts of neural networks, including modern techniques for deep learning.
这本书的目标是帮助你掌握神经网络的核心概念,包括深度学习的前沿技术。
And you will have a foundation to use neural networks and deep learning to attack problems of your own devising.
并且你将拥有使用神经网络和深度学习来解决你自己发现的问题的基础。
It has important theoretical significance and application value how to find an effective learning algorithm of RBF neural networks.
如何找到一种更加行之有效的RBF神经网络学习算法具有重要的理论意义和应用价值。
We'll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits.
我们通过解决一个具体的问题:交计算机识别手写数字,来学习神经网络与深度学习后面的核心理念。
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.
神经网络与深度学习现在为解决许多问题提供了最佳解决方案,例如图像识别、语音识别和自然语言分析。
Deep learning refers to the method of training multi-layer artificial neural networks.
深度学习是指训练多层的人工神经网络的方法。
The LEA decision method has been given so that grads methods and Newton methods can be effectively combined in neural networks learning.
在该系统中采用基于LEA判别法的梯度牛顿有效结合神经网络快速学习方法。
This dissertation focuses on efficient exact inference on belief networks, learning belief networks from data, and classification using belief networks.
本论文详细研究了信度网精确推理、信度网学习和信度网分类有关内容。
In any case, security sources say, other networks are learning from the mistakes of their peers, and from the information gleaned in court prosecutions.
安全渠道表示,无论如何,其他网络正在从他们同辈的错误以及法庭检举所搜集的情报里获得借鉴。
In any case, security sources say, other networks are learning from the mistakes of their peers, and from the information gleaned in court prosecutions.
安全渠道表示,无论如何,其他网络正在从他们同辈的错误以及法庭检举所搜集的情报里获得借鉴。
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