input text and output image using quick draw dataset
结构图如下
隐变量z通常是高斯噪声，判别器进行二分类，判断是真还是假的，通常采用交叉熵损失。
训练过程中，生成器与判别器交叉训练，先训练D再G。迭代训练K次判别器，再迭代一次生成器，
当生成器G固定时，求导计算最优D。最优判别器带入目标函数可以求出在当前D下生成器的目标函数。
二者达到纳什均衡后，判别器的预测概率为50%，即难以区分真假。
采用监督方法训练的模型，将分类标签和z作为生成器的输入，生成的假图片输入判别器，判别器判断真假和类别
使用google quick draw数据集，数据读出来以后大小都是640x480大小，因此输入网络的图片也要比较大才能保证
图上画的东西看得清
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
