tensorflow reinforcement learning tutorial

These days to get started learning machine learning content, the first to install TensorFlow.I've been tinkering with it for a few days. Maybe it's a stupid orz.Now try to write a tutorial, hoping to help the lost children!Roughly speaking, four steps:Install Python environment, configuration python path-> installation numpy-> installation TensorFlowStep1 Install

tutorial.Https://www.tensorflow.org/versions/r0.9/tutorials/index.htmlI wanted to start with imagenet, but it did not teach the model how to build, directly to a model file, loaded in. So do not go back and start with the simplest example. This is the mnist (handwriting recognition) tutorial. Mnist This is a thing, everyone Google.TensorFlow's official website gives two examples, simple examples, through the General machine

TensorFlow Official Tutorial: The last layer of the retraining model to cope with the new classification This article mainly includes the following content: TensorFlow Official Tutorial re-training the final layer of the model to cope with the new classification flowers the inception model for the dataset re-training

　Iv. selection of AlgorithmsThis step makes me very excited, finally talked about the algorithm, although no code, no formula. Because the tutorial does not want to go deep to explore the details of the algorithm, so focus on the application of the algorithm from the scenario, the shortcomings of the algorithm, how to choose the algorithm to expand vertically.Our training model is generally divided into supervised

Reprint: Https://mp.weixin.qq.com/s/J6eo4MRQY7jLo7P-b3nvJg Li Lin compiled from PyimagesearchAuthor Adrian rosebrockQuantum bit Report | Public number Qbitai OpenCV is a 2000 release of the open-source computer vision Library, with object recognition, image segmentation, face recognition, motion recognition and other functions, can be run on Linux, Windows, Android, Mac OS and other operating systems, with lightweight, efficient known, and provides multiple language interfaces. OPENCV's latest