github tensorflow tutorial

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GitHub Tutorial The most complete GitHub use: Getting Started with GitHub to master (from eoeandroid.com)

This article source: http://www.eoeandroid.com/thread-274556-1-1.htmlAnother classic tutorial URL: http://wuyuans.com/2012/05/github-simple-tutorial/ Git is a distributed version control system that was originally written by Linus Torvalds and used as the management of Linux kernel code. Since its launch, Git has also been a big success in other projects, e

GitHub Learning: How to upload a project from the local github&& how to copy the GitHub project through clone, detailed tutorial

Head Version fallback Reset--hard Version number Fallback to the version of the specified version number, after which modifications are removed. It is also back to the latest version through this command. Requires Reflog coordination 2. Commands for remote warehouses Behavior Command Notes Set User name Config--global user.name "Your user name" Set up a mailbox Config--global user.email

Easy tutorial for installing TensorFlow under windows with Pycharm

window system and has two Python interpreters installed, such as 3.6 and 2.7, then there will be an error when installing the package above, and the use of the PIP command directly in CMD also has a problem and cannot find the resources. I honestly unloaded the 2.7.Update: Both python3.6 and python2.7 are installed on Linux servers, which can be used to complement the impact of the operation. The main reason is the path designation of the relevant program. So it is assumed that the appropriate

TensorFlow Official Edition Tutorial Chinese version

powerful influence can lead to the development of a field, as was the case with previous Android systems and Map reduce technologies.Although TensorFlow's official version of the tutorial has been published, but the full English tutorial narrative inevitably make domestic researchers read a little laborious, and personal understanding of the different will cause the inconvenience of use, translated into Ch

[GitHub uses a simple tutorial] how to submit code to GitHub

A few words about GitHub introduction code to github the two ways to register a GitHub account with GitHub client submission code use the command line to submit code to github download install git config git create a new project maintain an old project conclusion reference a

TensorFlow (GPU) installation in win10+cuda8.0 environment and detailed tutorial of CUDNN package configuration

environment variable configuration is not directly accessible to the bin and lib\x64 under the package, in the path to add these two paths.Once installed, there will not be more than four environmental variables, and two need to add them themselves. C:\Program Files\nvidia GPU Computing toolkit\cuda\v8.0C:\Program Files\nvidia GPU Computing toolkit\cuda\v8.0\binC:\Program Files\nvidia GPU Computing toolkit\cuda\v8.0\lib\x64C:\Program Files\nvidia GPU Computing TOOLKIT\CUDA\V8.0\LIBNVVP

GitHub Tutorial (iii) local warehouse hosting to GitHub

This article begins with a special statement: Since the GitHub tutorial is a GitHub sub-chapter of the GIT series, the GitHub tutorial will no longer detail the GIT operations commands and their usage, and I'll go through the git action commands as needed. If the reader need

GitHub getting started and github for windows Installation tutorial, githubfor

GitHub getting started and github for windows Installation tutorial, githubfor Before reading this tutorial, I want to search for how to use gitHub to host my own projects. Before using gitHub, I also encountered various problems.

[GitHub] GitHub start tutorial

shown:Click the icon to copy the repository's cloned address, and then execute the following code on the command line: git clone https://github.com/your_username/your_repository_name.gitNote that the parameter after clone is the HTTPS clone URL that was previously copied on the Web page, and to paste in git bash, you need to do as shown:Run the command to get the following prompt:Execution effectThe Repository (repository) from the command line clone is stored in the corresponding user folder (

"Go" really start from scratch, TensorFlow detailed installation of getting Started graphics tutorial! (To help you finish the hardest one from 0 to 1)

Ai This concept seems to suddenly fire up, the beginning of the big score to win Li Shishi Alphago success attracted a lot of attention, but in fact, look at your phone's voice assistant, face recognition on the camera, today's headlines to help you automatically filter out the news, as well as the major music software song "Daily Recommended" ... All kinds of AI have already entered all aspects of our lives. Profoundly affected us, it can be said, this is an AI era.In fact, at the end of last y

The study and application of into gold deep learning tensorflow framework in smelting number video tutorial

). The course content is basically code-based programming, there will be a small amount of deep learning theoretical content. The course starts with some of the most basic knowledge from TensorFlow's most basic diagrams (graphs), sessions (session), tensor (tensor), variables (Variable), and gradually talks about the basics of TensorFlow, And the use of CNN and LSTM in TensorFlow. After the course, we will

GitHub spoof tutorial ("Play bad" with your own github)

the developer has already set up.To use a custom template, enter the file path of the template on the previous line, and the method for customizing the template can be found in the description page of the project. If you use a template created by the developer, go directly to the previous line, then select the template below and enter the desired template name (the template name corresponds to the pattern effect as well as the project description page).8. After everything is done, the project w

"Turn" machine learning Tutorial 14-handwritten numeral recognition using TensorFlow

({x:mnist.test.images, y_: Mnist.test.labels}))The results are as follows:[[email protected] $] python digital_recognition.pyextracting. /train-images-idx3-ubyte.gzextracting. /train-labels-idx1-ubyte.gzextracting. /t10k-images-idx3-ubyte.gzextracting. /t10k-labels-idx1-ubyte.gz0.9039ExplainFlags. Define_string ('data_dir'mnist_data/ ' Directory for storing data')Indicates that we use Mnist_data's top level directory as a storage directory for training data, and if we do not have good training

GitHub Web version start tutorial __github start tutorial

Hello World Reading time: 10min In computer programming, theHello World Program is a long tradition. It's a simple exercise that lets you start quickly when you're learning something new, and start GitHub it now. you will learn to create and use a library to start and manage a new branch to modify a file and submit it to GitHub open and merge a merge request what is Git

Win10 on the TensorFlow installation tutorial

variable, environment variable, left advanced system settings, properties---Edit text with path editPaste the directory of the Python folder up to the end and add a ";"That is, paste C:\Users\lobsterwww\AppData\Local\Programs\Python\Python36;Click the directory again to see the newly pasted directory is addedExit system settingsstep3 Installation NumPy if not installed, you cannot install TensorFlow directly under PIP. Go to https://pypi.python.org/p

Google Open source TensorFlow object Detection API Video Object recognition system implementation (ii) [ultra-detailed tutorial] ubuntu16.04 version

This section corresponds to Google Open source TensorFlow object Detection API Object recognition System Quick start Step (i):Quick Start:jupyter notebook for off-the-shelf inferenceThe steps in this section are simple and do the following:1. After installing Jupyter in the first section, enter the Models folder directory at the Ternimal terminal to execute the command:Jupyter-notebook  2. The Web page opens Jupyter access to the Object_detection fold

TensorFlow Learning Tutorial------Implement Lenet and perform two categories

Session:with Tf.device ("/gpu:0"): Session.run (init) coord=tf.train.Coordinator () Threads= Tf.train.start_queue_runners (coord=coord) Max_iter=10000ITER=0ifOs.path.exists (Os.path.join ("Model",'model.ckpt')) isTrue:tf.train.Saver (Max_to_keep=none). Restore (Session, Os.path.join ("Model",'model.ckpt')) whileiterMax_iter:#Loss_np,_,label_np,image_np,inf_np=session.run ([Loss,opti,batch_image,batch_label,inf])B_batch_image,b_batch_label =Session.run ([Batch_image,batch_label]) l

TensorFlow Installation Tutorial-WIN10 environment

Background: The latest version of Tensoflow has supported Python3.6First, download and install the Anaconda3 built-in Python3.6 version https://www.continuum.io/downloads do not modify its recommended options when installingThen download and install Cuda 8.0 https://developer.nvidia.com/cuda-downloadsThen download and install CUDNN 5.1 (the official recommended version, the latest version is not guaranteed to use) Link: Http://pan.baidu.com/s/1jHK0EFW Password: ai9f add cudnn extracted files to

TensorFlow Official Tutorial: The last layer of the retraining model to cope with the new classification

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

GitHub quick start tutorial for designers

Source: Kevin Li I have heard of GitHub more or less about my work in the Internet industry. In addition to being the largest open-source project hosting platform, many enterprises also use GitHub for collaborative development, of course, we are also one of them. The author initially decided to learn git because some details need to be adjusted after the internal design scheme of the team was initially deve

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