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:

woolly    音标拼音: [w'ʊli]
a. 羊毛制的,模糊的,似羊毛的,蓬乱的

羊毛制的,模糊的,似羊毛的,蓬乱的

woolly
adj 1: having a fluffy character or appearance [synonym:
{flocculent}, {woolly}, {wooly}]
2: confused and vague; used especially of thinking;
"muddleheaded ideas"; "your addled little brain"; "woolly
thinking"; "woolly-headed ideas" [synonym: {addled}, {befuddled},
{muddled}, {muzzy}, {woolly}, {wooly}, {woolly-headed},
{wooly-minded}]
3: covered with dense often matted or curly hairs; "woolly
lambs" [synonym: {wooly}, {woolly}, {wooly-haired}, {woolly-
haired}]
4: covered with dense cottony hairs or hairlike filaments; "the
woolly aphid has a lanate coat resembling cotton" [synonym:
{lanate}, {woolly}]

Woolly \Wool"ly\, a.
1. Consisting of wool; as, a woolly covering; a woolly
fleece.
[1913 Webster]

2. Resembling wool; of the nature of wool. "My fleece of
woolly hair." --Shak.
[1913 Webster]

3. Clothed with wool. "Woolly breeders." --Shak.
[1913 Webster]

4. (Bot.) Clothed with a fine, curly pubescence resembling
wool.
[1913 Webster]

{Woolly bear} (Zool.), the hairy larva of several species of
bombycid moths. The most common species in the United
States are the salt-marsh caterpillar (see under {Salt}),
the black and red woolly bear, or larva of the Isabella
moth (see Illust., under {Isabella Moth}), and the yellow
woolly bear, or larva of the American ermine moth
({Spilosoma Virginica}).

{Woolly butt} (Bot.), an Australian tree ({Eucalyptus
longifolia}), so named because of its fibrous bark.

{Woolly louse} (Zool.), a plant louse ({Schizoneura lanigera}
syn {Erisoma lanigera}) which is often very injurious to
the apple tree. It is covered with a dense coat of white
filaments somewhat resembling fine wool or cotton. In
exists in two forms, one of which infests the roots, the
other the branches. See Illust. under {Blight}.

{Woolly macaco} (Zool.), the mongoose lemur.

{Woolly maki} (Zool.), a long-tailed lemur ({Indris laniger})
native of Madagascar, having fur somewhat like wool; --
called also {avahi}, and {woolly lemur}.

{Woolly monkey} (Zool.), any South American monkey of the
genus {Lagothrix}, as the caparro.

{Woolly rhinoceros} (Paleon.), an extinct rhinoceros
({Rhinoceros tichorhinus}) which inhabited the arctic
regions, and was covered with a dense coat of woolly hair.
It has been found frozen in the ice of Siberia, with the
flesh and hair well preserved.
[1913 Webster]


请选择你想看的字典辞典:
单词字典翻译
woolly查看 woolly 在百度字典中的解释百度英翻中〔查看〕
woolly查看 woolly 在Google字典中的解释Google英翻中〔查看〕
woolly查看 woolly 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
  • 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
  • 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
  • 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
  • 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
  • neural networks - Are fully connected layers necessary in a CNN . . .
    A convolutional neural network (CNN) that does not have fully connected layers is called a fully convolutional network (FCN) See this answer for more info An example of an FCN is the u-net, which does not use any fully connected layers, but only convolution, downsampling (i e pooling), upsampling (deconvolution), and copy and crop operations





中文字典-英文字典  2005-2009