Huseyin ABANOZ

Introduction Keras is a popular deep learning api. It can run on top of Tensorflow , CNTK and Theano frameworks. Keras provides an easy to use interface which makes deep learning practice straight forward. It is widely used thus resources are easily accessible. Objective This article aims to give an introductory information about using a Keras trained CNN model for inference. This article does not contain information about CNN training. Audience This article assumes introductory information about python and Convolutional Neural Networks. For those who lack information may first begin with information from following resources. For python use  Python For Beginners For Convolutional Neural Networks use  CS231n Convolutional Neural Networks for Visual Recognition Software Installation Keras is a high level API. It requires a back-end framework to be installed. In this article, Tensorflow is used. Keras can transparently select CPU or GPU for processing. If use of GPU is

Problem Suppose you are working on a project that relies on Mysql service but you do not want to install MySQL to your system. Using a Docker image can be a good solution. Remember that you can use many services through Docker containers. Steps 1- Install docker  Docker Community Edition can be freely downloaded from the  official page. It requires registration. https://www.docker.com/community-edition Install docker image. It may require a restart, if it does, do so. In case any problems occur that prevent Docker for Windows from starting check trouble shooting page. https://docs.docker.com/docker-for-windows/troubleshoot/ In Windows 10, hypervisor launch type needs to be "auto".  In order to check current status bcdedit command can be used via PowerShell (Administrator Mode). In order to set to "auto" following command can be used. bcdedit /set hypervisorlaunchtype auto 2- Find the Relevant Container Go to  Docker Store . Type Mysql. Sel