blender learning

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[Blender series] Flow Simulation

My personal blog: http://www.ourd3js.com/ Csdn blog: http://blog.csdn.net/lzhlzz/ Please indicate the source for reprinting. Thank you. Blender is an open-source cross-platform, all-around 3D animation production software that provides a series of short animation film production solutions, including modeling, animation, material, rendering, audio processing, and video editing, it has a rich array of functions. What's more valuable is that it is compl

Color blender --- online gradient ribbon Generator

Label: style HTTP color ar use for SP Div onColor blender is a useful online gradient ribbon generator that can automatically generate a transitional color between two colors. It is a good color distribution tool for web designers. Color blender is easy to use. You only need to select two colors in the color1 and color2 color boxes, then select the number of Transition Colors to be generated in the midpoint

How does blender use nodes to map images to the model?

How does blender use nodes to map images to the model? Blender uses the node's way to image texture maps of its own model, through UV expansion, create texture nodes, step-by-step completion of the mapping operation. 1, open blender, the top switch to "cycles rendering." 2, create a "plane" model. 3, the top 3d view the l

A simple way for blender to simulate global illumination

{copy duplication}, click {vertex verts}, tick {rotate rotation};(Copy the Sun light source to each vertex, that is, how many vertices the angular sphere has, there will be how many sun light source, and the direction is angular ball vertex normal direction;If you want more light on a side or corner, you only need to edit the angular sphere, and the selected person's surface area [W] to subdivide the surface.)[F12], rendering viewing effect, if too bright or dark, adjust the sun intensity.Can't

Analysis of Blender selection steps

the design and selection of the stirring device are closely integrated with the stirring operation purpose. Different stirring processes need to be operated by different agitation devices. In the design and selection, the purpose and requirements of

Blender move, rotate, zoom

1. Manually adjust the properties of the object When we add an object, such as a torus object. The "Add Torus" Panel is visible in the lower-left corner, and the panel contains Locatin, Rotation, Major segments, Minor segments, and other properties,

Stanford University public Class machine learning: Advice for applying machines learning | Learning curves (Improved learning algorithm: the relationship between high and high variance and learning curve)

Drawing a learning curve is useful, for example, if you want to check your learning algorithm and run normally. Or you want to improve the performance or effect of the algorithm. Then the learning curve is a good tool. The learning curve can judge a learning algorithm, which

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; probe into depth learning) __ Machine learning

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1:define A set of function Step 2:goodness of function Step 3:pick the best function X_t

Machine Learning--unsupervised Learning (non-supervised learning of machines learning)

Earlier, we mentioned supervised learning, which corresponds to non-supervised learning in machine learning. The problem with unsupervised learning is that in untagged data, you try to find a hidden structure. Because the examples provided to learners arenot marked, so there is no error or reward signal to evaluate the

Learning Rate: The effect of learning rate from gradient learning algorithm--how to adjust the learning rate

In machine learning, supervised learning (supervised learning) by defining a model and estimating the optimal parameters based on the data on the training set. The gradient descent method (Gradient descent) is a parametric optimization algorithm widely used to minimize model errors. The gradient descent method uses multiple iterations and minimizes the cost funct

Deep Learning (Deep Learning) Learning notes and Finishing _

Deep Learning notes finishing (very good) Http://www.sigvc.org/bbs/thread-2187-1-3.html Affirmation: This article is not the author original, reproduced from: http://www.sigvc.org/bbs/thread-2187-1-3.html 4.2, the primary (shallow layer) feature representation Since the pixel-level feature indicates that the method has no effect, then what kind of representation is useful. Around 1995, Bruno Olshausen and David Field two scholars, Cornell Unive

Two methods of machine learning--supervised learning and unsupervised learning (popular understanding) _ Machine Learning

Objective Machine learning is divided into: supervised learning, unsupervised learning, semi-supervised learning (can also be used Hinton said reinforcement learning) and so on. Here, the main understanding of supervision and unsupervised

Machine Learning deep learning natural Language processing learning

Original address: http://www.cnblogs.com/cyruszhu/p/5496913.htmlDo not use for commercial use without permission! For related requests, please contact the author: [Email protected]Reproduced please attach the original link, thank you.1 BasicsL Andrew NG's machine learning video.Connection: homepage, material.L 2.2008-year Andrew Ng CS229 machine LearningOf course, the basic method does not change much, so the courseware PDF downloadable is the advanta

How to differentiate between supervised learning (supervised learning) and unsupervised learning (unsupervised learning)

supervised learning : In short, given a certain training sample (it is important to note that the sample is both data and data corresponding to the results), using this sample training to get a model (can be said to be a function), and then use this model to map all the input to the corresponding output, The output is then simply judged so that the problem of classification (or regression) is achieved. Simply make a distinction, the classification is

Deep Learning (depth learning) Learning Notes finishing Series (i)

Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a collection of information from the online very big Daniel and the machine

"Learning record" on the Internet learning Skills exercises and learning notes and learning experiences of makefile (VS2010)

I don't know. As a complete Windows platform under the less professional software engineering students, see the "Accelerated C + +" source code, the first reaction is: Oh! I should use make to generate project files. Then I happily use AOL to start searching for relevant information.And then the egg! I must have been possessed by some strange creature. I should import files directly with VS Create Project. Then ... ctrl+f5. How perfect.But...... Following:"Tutorial" from the cloud-wind Big blog

Classification of machine learning algorithms based on "machine Learning Basics"--on how to choose machine learning algorithms and applicable solutions

IntroductionThe systematic learning machine learning course has benefited me a lot, and I think it is necessary to understand some basic problems, such as the category of machine learning algorithms.Why do you say that? I admit that, as a beginner, may not be in the early stage of a learning object has a comprehensive

Intensive learning and learning notes--Introducing intensive learning (reinforcement learning)

As we all know, when Alphago defeated the world go champion Li Shishi, the whole industry is excited, more and more scholars realize that reinforcement learning is a very exciting in the field of artificial intelligence. Here I will share my intensive learning and learning notes. The basic concept of reinforcement learning

Stanford Machine Learning---The sixth week. Design of learning curve and machine learning system

sixth week. Design of learning curve and machine learning system Learning Curve and machine learning System Design Key Words Learning curve, deviation variance diagnosis method, error analysis, numerical evaluation of machine learning

"Machine Learning Basics" machine learning Cornerstone Course Learning Introduction

What is machine learning?"Machine learning" is one of the core research fields of artificial intelligence, its initial research motive is to let the computer system have human learning ability to realize artificial intelligence.In fact, since "experience" is mainly in the form of data in the computer system, machine learning

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