Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function. To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or of the approximate gradient) of the function at the current point.

Quick Start with Docker We are going to use this Docker Images tensorflow/tensorflow After installation of Docker has completed. Start CPU only container {代码...} Going to your browser on [链接]:8888/. This Docker Image will launch a jupyter. Of course,You can without Docker and start your first...

Introducing the what is the TensorFlow and some related conceptions of TensorFlow.

可以像这样简洁的使用这个封装的Scroll List(or List View)有种来到了开发Windows RT、WPF使用ListView template的即视感

最近一直在写一个React、Redux的前端项目，登录状态验证这一块还是比较头疼的。 我的实践下有三种方式来验证用户登录状态，目前我选择用三种方式一起用在项目里面。 Redux高阶函数验证（High-Order Function） Actions中间件验证 Component WillMount 验证 之所以用三种方式一起是因为Redux高阶函数在性能调优的时候并不...