英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字，中文词皆可：

virtuousness    
n. 有德;高洁;贞淑

有德;高洁;贞淑

virtuousness
n 1: the quality of doing what is right and avoiding what is
wrong [synonym: {virtue}, {virtuousness}, {moral excellence}]

Virtuous \Vir"tu*ous\ (?; 135), a. [OE. vertuous, OF. vertuos,
vertuous, F. vertueux, fr. L. Virtuous. See {Virtue}, and cf.
{Virtuoso}.]
1. Possessing or exhibiting virtue. Specifically:
[1913 Webster]
(a) Exhibiting manly courage and strength; valorous;
valiant; brave. [Obs.]
[1913 Webster]

Old Priam's son, amongst them all, was chiefly
virtuous. --Chapman.
[1913 Webster]
(b) Having power or efficacy; powerfully operative;
efficacious; potent. [Obs.] --Chaucer.
[1913 Webster]

Lifting up his virtuous staff on high,
He smote the sea, which calm['e]d was with
speed. --Spenser.
[1913 Webster]

Every virtuous plant and healing herb. --Milton.
[1913 Webster]
(c) Having moral excellence; characterized by morality;
upright; righteous; pure; as, a virtuous action.
[1913 Webster]

The virtuous mind that ever walks attended
By a strong siding champion, conscience.
--Milton.
[1913 Webster]

2. Chaste; pure; -- applied especially to women.
[1913 Webster]

Mistress Ford . . . the virtuous creature, that hath
the jealous fool to her husband. --Shak.
[1913 Webster] -- {Vir"tu*ous*ly}, adv. --
{Vir"tu*ous*ness}, n.
[1913 Webster] Virulence


请选择你想看的字典辞典：
单词字典翻译
virtuousness查看　virtuousness　在百度字典中的解释百度英翻中〔查看〕
virtuousness查看　virtuousness　在Google字典中的解释Google英翻中〔查看〕
virtuousness查看　virtuousness　在Yahoo字典中的解释Yahoo英翻中〔查看〕

安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • What is the fundamental difference between CNN and RNN?
    A CNN will learn to recognize patterns across space while RNN is useful for solving temporal data problems CNNs have become the go-to method for solving any image data challenge while RNN is used for ideal for text and speech analysis
  • What is the difference between CNN-LSTM and RNN?
    Why would "CNN-LSTM" be another name for RNN, when it doesn't even have RNN in it? Can you clarify this? What is your knowledge of RNNs and CNNs? Do you know what an LSTM is?
  • machine learning - What is a fully convolution network? - Artificial . . .
    Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations Equivalently, an FCN is a CNN without fully connected layers Convolution neural networks The typical convolution neural network (CNN) is not fully convolutional because it often contains fully connected layers too (which do not perform the
  • convolutional neural networks - When to use Multi-class CNN vs. one . . .
    0 I'm building an object detection model with convolutional neural networks (CNN) and I started to wonder when should one use either multi-class CNN or a single-class CNN
  • Extract features with CNN and pass as sequence to RNN
    But if you have separate CNN to extract features, you can extract features for last 5 frames and then pass these features to RNN And then you do CNN part for 6th frame and you pass the features from 2,3,4,5,6 frames to RNN which is better The task I want to do is autonomous driving using sequences of images
  • In a CNN, does each new filter have different weights for each input . . .
    Typically for a CNN architecture, in a single filter as described by your number_of_filters parameter, there is one 2D kernel per input channel There are input_channels * number_of_filters sets of weights, each of which describe a convolution kernel So the diagrams showing one set of weights per input channel for each filter are correct
  • machine learning - What is the concept of channels in CNNs . . .
    The concept of CNN itself is that you want to learn features from the spatial domain of the image which is XY dimension So, you cannot change dimensions like you mentioned
  • How do I improve my model accuracy and val_accuracy for my cnn model?
    I'm using 3000+ retinopathy images in my CNN model The accuracy remains around 77 to 80, how do i improve the accuracy value and reduce loss value? I've tried dropout and Adam optimizer to increas
  • How to use CNN for making predictions on non-image data?
    You can use CNN on any data, but it's recommended to use CNN only on data that have spatial features (It might still work on data that doesn't have spatial features, see DuttaA's comment below) For example, in the image, the connection between pixels in some area gives you another feature (e g edge) instead of a feature from one pixel (e g color) So, as long as you can shaping your data





中文字典-英文字典  2005-2009