2021년 2월 17일 (수) 08:26에 Pythagoras0님의 편집

2021-02-17T08:26:08Z

Pythagoras0: /* 메타데이터 */ 새 문단

2020-12-26T12:26:20Z

메타데이터: 새 문단

Pythagoras0: /* 노트 */ 새 문단

2020-12-21T08:23:37Z

노트: 새 문단

새 문서

== 노트 ==

===위키데이터===
* ID : [https://www.wikidata.org/wiki/Q173582 Q173582]
===말뭉치===
# To create a linear gradient you must define at least two color stops.<ref name="ref_7d91c486">[https://www.w3schools.com/css/css3_gradients.asp CSS Gradients]</ref>
# The following example shows a linear gradient that starts at the top.<ref name="ref_7d91c486" />
# The following example shows a linear gradient that starts from the left.<ref name="ref_7d91c486" />
# The following example shows a linear gradient that starts at top left (and goes to bottom right).<ref name="ref_7d91c486" />
# In fact, the best thing about gradient code is that it can be as simple or as complex as you’d like to make it.<ref name="ref_f5c62406">[https://cssgradient.io/ CSS Gradient — Generator, Maker, and Background]</ref>
# A CSS linear gradient can be coded by using the linear-gradient() function and can be as simple or complex as you would like.<ref name="ref_f5c62406" />
# Playing with color-stop positions could also leave you with a solid pattern instead of a traditional gradient.<ref name="ref_f5c62406" />
# For example, you may have noticed the popular music-streaming company, Spotify, and their gradient branding recently.<ref name="ref_f5c62406" />
# Two types of gradients, with blue arrows to indicate the direction of the gradient.<ref name="ref_2dca031e">[https://en.wikipedia.org/wiki/Image_gradient Image gradient]</ref>
# For example, the Canny edge detector uses image gradient for edge detection.<ref name="ref_2dca031e" />
# In the center, a gradient image in the x direction measuring horizontal change in intensity.<ref name="ref_2dca031e" />
# On the right, a gradient image in the y direction measuring vertical change in intensity.<ref name="ref_2dca031e" />
# The gradient, represented by the blue arrows, denote the direction of greatest change of a scalar function.<ref name="ref_0581881b">[https://en.wikipedia.org/wiki/Gradient Wikipedia]</ref>
# The gradient vector can be interpreted as the "direction and rate of fastest increase".<ref name="ref_0581881b" />
# At each point in the room, the gradient of T at that point will show the direction in which the temperature rises most quickly, moving away from (x, y, z).<ref name="ref_0581881b" />
# The gradient can also be used to measure how a scalar field changes in other directions, rather than just the direction of greatest change, by taking a dot product.<ref name="ref_0581881b" />
# You must give the gradient an id attribute; otherwise it can't be referenced by other elements inside the file.<ref name="ref_582be909">[https://developer.mozilla.org/en-US/docs/Web/SVG/Tutorial/Gradients Gradients in SVG - SVG: Scalable Vector Graphics]</ref>
# Screenshot Live sample Above is an example of a linear gradient being applied to a <rect> element.<ref name="ref_582be909" />
# Inside the linear gradient are several <stop> nodes.<ref name="ref_582be909" />
# These nodes tell the gradient what color it should be at certain positions by specifying an offset attribute for the position, and a stop-color attribute.<ref name="ref_582be909" />
# The term "gradient" is typically used for functions with several inputs and a single output (a scalar field).<ref name="ref_8e34963b">[https://betterexplained.com/articles/vector-calculus-understanding-the-gradient/ Vector Calculus: Understanding the Gradient – BetterExplained]</ref>
# Yes, you can say a line has a gradient (its slope), but using "gradient" for single-variable functions is unnecessarily confusing.<ref name="ref_8e34963b" />
# “Gradient” can refer to gradual changes of color, but we’ll stick to the math definition if that’s ok with you.<ref name="ref_8e34963b" />
# If we have two variables, then our 2-component gradient can specify any direction on a plane.<ref name="ref_8e34963b" />
# The more general gradient, called simply "the" gradient in vector analysis, is a vector operator denoted and sometimes also called del or nabla.<ref name="ref_c08bf5ac">[https://mathworld.wolfram.com/Gradient.html Gradient -- from Wolfram MathWorld]</ref>
# Important: You'll need a recent version of Firefox, Chrome, Safari, Opera or IE to use this Gradient Generator.<ref name="ref_da5a876e">[https://www.colorzilla.com/gradient-editor/ Ultimate CSS Gradient Generator]</ref>
# The resulting CSS gradients are cross-browser - they will work in these browsers and will also fall back to a simpler gradient in older versions of Internet Explorer.<ref name="ref_da5a876e" />
# The first stage in gradient descent is to pick a starting value (a starting point) for \(w_1\).<ref name="ref_5f808245">[https://developers.google.com/machine-learning/crash-course/reducing-loss/gradient-descent Reducing Loss: Gradient Descent]</ref>
# The gradient descent algorithm then calculates the gradient of the loss curve at the starting point.<ref name="ref_5f808245" />
# Here in Figure 3, the gradient of the loss is equal to the derivative (slope) of the curve, and tells you which way is "warmer" or "colder.<ref name="ref_5f808245" />
# Please note, however, that TensorFlow handles all the gradient computations for you, so you don't actually have to understand the calculus provided here.<ref name="ref_5f808245" />
# So here I'm gonna talk about the gradient.<ref name="ref_4823634d">[https://www.khanacademy.org/math/multivariable-calculus/multivariable-derivatives/gradient-and-directional-derivatives/v/gradient Gradient (video)]</ref>
# And in this video, I'm only gonna describe how you compute the gradient, and in the next couple ones I'm gonna give the geometric interpretation.<ref name="ref_4823634d" />
# The gradient is a way of packing together all the partial derivative information of a function.<ref name="ref_4823634d" />
# And the way you might write this more generally is we could go down here and say the gradient of any function is equal to a vector with its partial derivatives.<ref name="ref_4823634d" />
# The divergence between structure and function closely follows representational and cytoarchitectonic hierarchies, reflecting a macroscale gradient.<ref name="ref_a438e3d8">[https://www.pnas.org/content/116/42/21219 Gradients of structure–function tethering across neocortex]</ref>
# Namely, a hierarchy that spans from unimodal primary areas to polysensory transmodal areas traces a continuous sensory-fugal gradient, culminating in the default mode network (19, 20).<ref name="ref_a438e3d8" />
# This representational gradient may reflect microstructural variations, showing significant associations with intracortical myelination (21) and laminar differentiation (22).<ref name="ref_a438e3d8" />
# We first derived a macroscale functional gradient for the present dataset.<ref name="ref_a438e3d8" />
# The LinearGradientBrush class derives from the GradientBrush class, and paints an area with a linear gradient, which blends two or more colors along a line known as the gradient axis.<ref name="ref_cc5e2d17">[https://docs.microsoft.com/en-us/xamarin/xamarin-forms/user-interface/brushes/lineargradient Xamarin.Forms Brushes: Linear gradients - Xamarin]</ref>
# GradientStop objects are used to specify the colors in the gradient and their positions.<ref name="ref_cc5e2d17" />
# StartPoint , of type Point , which represents the starting two-dimensional coordinates of the linear gradient.<ref name="ref_cc5e2d17" />
# EndPoint , of type Point , which represents the ending two-dimensional coordinates of the linear gradient.<ref name="ref_cc5e2d17" />
# , then, the positive size-distance gradient makes all the objects in the court appear to be the same size.<ref name="ref_7d3324e4">[https://www.merriam-webster.com/dictionary/gradient Definition of Gradient by Merriam-Webster]</ref>
# In some cases, the thinning of the interface also generates a gradient in surface tension.<ref name="ref_7d3324e4" />
# Kulldorff said the sharp age gradient in deaths from covid-19 is not sufficiently appreciated.<ref name="ref_7d3324e4" />
# Temperatures are converted into a gradient of colors, ranging from cool blues to warm oranges.<ref name="ref_7d3324e4" />
# Policy gradient is an approach to solve reinforcement learning problems.<ref name="ref_07c83a16">[https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Policy Gradient Algorithms]</ref>
# The policy gradient methods target at modeling and optimizing the policy directly.<ref name="ref_07c83a16" />
# Luckily, the policy gradient theorem comes to save the world!<ref name="ref_07c83a16" />
# The policy gradient theorem lays the theoretical foundation for various policy gradient algorithms.<ref name="ref_07c83a16" />
# Gradient descent is one of the most popular algorithms to perform optimization and by far the most common way to optimize neural networks.<ref name="ref_fc280590">[https://ruder.io/optimizing-gradient-descent/ An overview of gradient descent optimization algorithms]</ref>
# At the same time, every state-of-the-art Deep Learning library contains implementations of various algorithms to optimize gradient descent (e.g. lasagne's, caffe's, and keras' documentation).<ref name="ref_fc280590" />
# This blog post aims at providing you with intuitions towards the behaviour of different algorithms for optimizing gradient descent that will help you put them to use.<ref name="ref_fc280590" />
# We are first going to look at the different variants of gradient descent.<ref name="ref_fc280590" />
# You see gradients everywhere in nature, every fruit, every leaf you see has a gradient from a light color to a darker shade in the shadows.<ref name="ref_90eaf206">[https://uxplanet.org/why-gradients-are-back-to-rule-in-2018-8b36711c335f Why Gradients are back to rule in 2018?]</ref>
# The sky always has a gradient from an unsaturated hue to more saturated color as you go farther away from the horizon.<ref name="ref_90eaf206" />
# It’s already being called ‘Gradient 2.0’ by design communities around Behance.<ref name="ref_90eaf206" />
# Another example is the use of gradient as background in illustrations for articles related to medicine and health.<ref name="ref_90eaf206" />
# stop_gradients provides a way of stopping gradient after the graph has already been constructed, as compared to tf.stop_gradient which is used during graph construction.<ref name="ref_895dc588">[https://www.tensorflow.org/api_docs/python/tf/gradients TensorFlow Core v2.4.0]</ref>
# name Optional name to use for grouping all the gradient ops together.<ref name="ref_895dc588" />
# aggregation_method Specifies the method used to combine gradient terms.<ref name="ref_895dc588" />
# Specifies the gradient value returned when the given input tensors are unconnected.<ref name="ref_895dc588" />
# The angle of the color transitions along the gradient vector is defined by the gradient normal.<ref name="ref_fa266a73">[https://www.w3.org/TR/SVG11/pservers.html Gradients and Patterns – SVG 1.1 (Second Edition)]</ref>
# Before any transforms are applied to the gradient or its referencing graphics element, the gradient normal is perpendicular with the gradient vector.<ref name="ref_fa266a73" />
# If a graphics element references a gradient, conceptually the graphics element should take a copy of the gradient vector and gradient normal and treat it as part of its own geometry.<ref name="ref_fa266a73" />
# Any transformations applied to the graphics element geometry also apply to the copied gradient vector and gradient normal.<ref name="ref_fa266a73" />
# A lovely photo—made even lovelier with a pink gradient overlay.<ref name="ref_dc19ec7a">[https://99designs.com/blog/trends/gradient-design-trend/ The gradient design trend: what it looks like and how to use it]</ref>
# The gradient design adds depth and dimension to the otherwise flat fox graphic.<ref name="ref_dc19ec7a" />
# So, why is the gradient trend having such a moment right now?<ref name="ref_dc19ec7a" />
# A lot of people thought going the gradient route was too much of a throwback.<ref name="ref_dc19ec7a" />
# Just as you can declare the background of an element to be a solid color in CSS, you can also declare that background to be a gradient.<ref name="ref_6976d3ee">[https://css-tricks.com/css3-gradients/ CSS Gradients]</ref>
# If that box was square, the angle of that gradient would have been 45°, but since it’s not, it isn’t.<ref name="ref_6976d3ee" />
# You can see how that gradient makes an elliptical shape, since the element is not a square.<ref name="ref_6976d3ee" />
# But similar to linear, radial-gradient() has gone through some syntax changes.<ref name="ref_6976d3ee" />
# The class SGDClassifier implements a plain stochastic gradient descent learning routine which supports different loss functions and penalties for classification.<ref name="ref_5655e35e">[http://scikit-learn.org/stable/modules/sgd.html 1.5. Stochastic Gradient Descent — scikit-learn 0.23.2 documentation]</ref>
# The class SGDRegressor implements a plain stochastic gradient descent learning routine which supports different loss functions and penalties to fit linear regression models.<ref name="ref_5655e35e" />
# Tips on Practical Use¶ Stochastic Gradient Descent is sensitive to feature scaling, so it is highly recommended to scale your data.<ref name="ref_5655e35e" />
# gradient descent, SGD approximates the true gradient of \(E(w,b)\) by considering a single training example at a time.<ref name="ref_5655e35e" />
# Gradient is the most advanced AI-powered photo app in the world!<ref name="ref_325f40b7">[https://play.google.com/store/apps/details?id=com.tickettothemoon.gradient.photo&hl=en&gl=US Gradient: AI Photo Editor]</ref>
# With Gradient Photo Editor there will be no more bad shots for you because everything you need to make a photo look beautiful is already packed in this editor!<ref name="ref_325f40b7" />
# To fade in from transparent, reverse the gradient direction and use a from-{color} utility.<ref name="ref_cb4b1342">[https://tailwindcss.com/docs/gradient-color-stops Gradient Color Stops]</ref>
# By default, Tailwind makes the entire default color palette available as gradient color stops.<ref name="ref_cb4b1342" />
# By default, only responsive, dark mode (if enabled), hover and focus variants are generated for gradient color stops utilities.<ref name="ref_cb4b1342" />
# You can control which variants are generated for the gradient color stops utilities by modifying the gradientColorStops property in the variants section of your tailwind.config.js file.<ref name="ref_cb4b1342" />
# To add more color markers, click the gradient bar.<ref name="ref_ec747ece">[https://support.google.com/webdesigner/answer/4317356?hl=en Google Web Designer Help]</ref>
# Drag the outer handles to change how the gradient is applied across the object.<ref name="ref_ec747ece" />
# Drag the inner handle to rotate the gradient around the black centerpoint.<ref name="ref_ec747ece" />
# The gradient automatically resizes to stay proportional to the element.<ref name="ref_ec747ece" />
# You can also toggle every element's gradient like different layers.<ref name="ref_8dc80592">[https://chrome.google.com/webstore/detail/css-gradient-inspector/blklpjonlhpakchaahdnkcjkfmccmdik?hl=en CSS Gradient Inspector]</ref>
# It is often useful or necessary to find out what the gradient of a graph is.<ref name="ref_f2ec7027">[https://revisionmaths.com/gcse-maths-revision/algebra/gradients-and-graphs Mathematics GCSE Revision]</ref>
# To find the gradient of a curve, you must draw an accurate sketch of the curve.<ref name="ref_f2ec7027" />
# At the point where you need to know the gradient, draw a tangent to the curve.<ref name="ref_f2ec7027" />
# This results in a certain pattern, depending on the type of gradient.<ref name="ref_08c88f0c">[https://www.figma.com/dictionary/gradient/ What are the different types? When should you use one?]</ref>
# When you think of the word gradient, this is likely the concept that comes to mind.<ref name="ref_08c88f0c" />
# An angle gradient sweeps counterclockwise around the starting point.<ref name="ref_08c88f0c" />
# and you’ll understand how a reflected gradient works.<ref name="ref_08c88f0c" />
# With Gradient there will be no more bad shots for you because everything you need to make a photo look beautiful is already packed in this editor!<ref name="ref_74713b5c">[https://apps.apple.com/us/app/gradient-ai-photo-editor/id1466097469 ‎Gradient: AI Photo Editor]</ref>
# Apparently, it’s quite an unsteady road to use one gradient on another.<ref name="ref_6a101567">[https://medium.muz.li/oh-mamma-im-in-love-with-gradient-c81943e3c92b Oh Mamma, I’m in love with Gradient]</ref>
# In the following example, there are pastel colors in the background gradient.<ref name="ref_6a101567" />
# Here, the background gradient was created using one color(dark blue) and it’s tint, a lighter blue.<ref name="ref_6a101567" />
# Such type of gradient might look too calm.<ref name="ref_6a101567" />
# y,z) then the gradient on the surface defines a vector which is normal to the surface.<ref name="ref_82f0e479">[http://hyperphysics.phy-astr.gsu.edu/hbase/gradi.html Gradient]</ref>
# The divergence of the gradient is called the LaPlacian.<ref name="ref_82f0e479" />
# () Returns the color state list used to fill the shape, or null if the shape is filled with a gradient or has no fill color.<ref name="ref_963e5c4e">[https://developer.android.com/reference/android/graphics/drawable/GradientDrawable Android Developers]</ref>
# () Returns the radius for the corners of the gradient, that was previously set with setCornerRadius(float) .<ref name="ref_963e5c4e" />
# () Returns the X-position of the center of the gradient as a fraction of the width.<ref name="ref_963e5c4e" />
# () Returns the Y-position of the center of this gradient as a fraction of the height.<ref name="ref_963e5c4e" />
# There is a nice way to describe the gradient geometrically.<ref name="ref_1d9bd623">[http://sites.science.oregonstate.edu/math/home/programs/undergrad/CalculusQuestStudyGuides/vcalc/grad/grad.html The Gradient and Directional Derivative]</ref>
# The gradient vector <8x,2y> is plotted at the 3 points (sqrt(1.25),0), (1,1), (0,sqrt(5)).<ref name="ref_1d9bd623" />
# As the plot shows, the gradient vector at (x,y) is normal to the level curve through (x,y).<ref name="ref_1d9bd623" />
===소스===
<references />

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   <references />
-== 메타데이터 ==
+==메타데이터==
 ===위키데이터===
 * ID :  [https://www.wikidata.org/wiki/Q173582 Q173582]

← 이전 판		2020년 12월 26일 (토) 12:26 판
117번째 줄:		117번째 줄:
	===소스===		===소스===
	<references />		<references />
		+
		+	== 메타데이터 ==
		+
		+	===위키데이터===
		+	* ID : [https://www.wikidata.org/wiki/Q173582 Q173582]

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2021년 2월 17일 (수) 08:26에 Pythagoras0님의 편집

Pythagoras0: /* 메타데이터 */ 새 문단

Pythagoras0: /* 노트 */ 새 문단