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：

spinning    音标拼音: [sp'ɪnɪŋ]
n. 纺织,旋转

纺织,旋转

spinning
n 1: creating thread

Spin \Spin\ (sp[i^]n), v. t. [imp. & p. p. {Spun}(Archaic imp.
{Span}); p. pr. & vb. n. {Spinning}.] [AS. spinnan; akin to
D. & G. spinnen, Icel. & Sw. spinna, Dan. spinde, Goth.
spinnan, and probably to E. span. [root]170. Cf. {Span}, v.
t., {Spider}.]
1. To draw out, and twist into threads, either by the hand or
machinery; as, to spin wool, cotton, or flax; to spin
goat's hair; to produce by drawing out and twisting a
fibrous material.
[1913 Webster]

All the yarn she [Penelope] spun in Ulysses' absence
did but fill Ithaca full of moths. --Shak.
[1913 Webster]

2. To draw out tediously; to form by a slow process, or by
degrees; to extend to a great length; -- with out; as, to
spin out large volumes on a subject.
[1913 Webster]

Do you mean that story is tediously spun out?
--Sheridan.
[1913 Webster]

3. To protract; to spend by delays; as, to spin out the day
in idleness.
[1913 Webster]

By one delay after another they spin out their whole
lives. --L'Estrange.
[1913 Webster]

4. To cause to turn round rapidly; to whirl; to twirl; as, to
spin a top.
[1913 Webster]

5. To form (a web, a cocoon, silk, or the like) from threads
produced by the extrusion of a viscid, transparent liquid,
which hardens on coming into contact with the air; -- said
of the spider, the silkworm, etc.
[1913 Webster]

6. (Mech.) To shape, as malleable sheet metal, into a hollow
form, by bending or buckling it by pressing against it
with a smooth hand tool or roller while the metal
revolves, as in a lathe.
[1913 Webster]

{To spin a yarn} (Naut.), to tell a story, esp. a long or
fabulous tale.

{To spin hay} (Mil.), to twist it into ropes for convenient
carriage on an expedition.

{To spin street yarn}, to gad about gossiping. [Collog.]
[1913 Webster]


Spinning \Spin"ning\,
a. & n. from {Spin}.
[1913 Webster]

{Spinning gland} (Zool.), one of the glands which form the
material for spinning the silk of silkworms and other
larvae.

{Spinning house}, formerly a common name for a house of
correction in England, the women confined therein being
employed in spinning.

{Spinning jenny} (Mach.), an engine or machine for spinning
wool or cotton, by means of a large number of spindles
revolving simultaneously.

{Spinning mite} (Zool.), the red spider.

{Spinning wheel}, a machine for spinning yarn or thread, in
which a wheel drives a single spindle, and is itself
driven by the hand, or by the foot acting on a treadle.
[1913 Webster]


请选择你想看的字典辞典：
单词字典翻译
Spinning查看　Spinning　在百度字典中的解释百度英翻中〔查看〕
Spinning查看　Spinning　在Google字典中的解释Google英翻中〔查看〕
Spinning查看　Spinning　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
  • 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
  • How do I handle large images when training a CNN?
    Suppose that I have 10K images of sizes $2400 \\times 2400$ to train a CNN How do I handle such large image sizes without downsampling? Here are a few more specific questions Are there any tech
  • When to use Multi-class CNN vs. one-class CNN
    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
  • 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?
  • convolutional neural networks - In a CNN, does each new filter have . . .
    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





中文字典-英文字典  2005-2009