tensorflow repository

Win10 + python3.6 + VSCode + tensorflow-gpu + keras + cuda8 + cuDN6N environment configuration, win10cudn6n Preface: Before getting started, I knew almost nothing about python or tensorflow, so I took a lot of detours When configuring this environment, it took a whole week to complete the environment... However, the most annoying thing is that it is difficult to set up the environment. Because my laptop is

Installing DockerBefore only the Docker file, not how to contact the installation of Docker environment, this time also try it, first download DockerToolbox.exeAfter the installation is complete, the startup script start.sh, will default to check the version, if it is installed at the same time VirtualBox, it is recommended to restart, this card for a long time, has been reported to start vboxmanage abnormal, find a half day reason ...This step on the Internet is still a lot of information, Dock

Learning notes TF024: TensorFlow achieves Softmax Regression (Regression) Recognition of handwritten numbersTensorFlow implements Softmax Regression (Regression) to recognize handwritten numbers. MNIST (Mixed National Institute of Standards and Technology database), simple machine vision dataset, 28x28 pixels handwritten number, only grayscale value information, blank part is 0, handwriting according to the color depth of [0, 1], 784 dimension. Two-di

Basic TensorFlow usage example This article is based on Python3 TensorFlow 1.4. This section describes the basic usage of TensorFlow by using the simplest example, plane fitting. The introduction method of constructing TensorFlow is as follows: Import tensorflow as tf Next,

Originating From: https://blog.csdn.net/jerr__y/article/details/61195257 Welcome reprint, but please be sure to indicate the source and author information. @author: Huangyongye@creat_date: 2017-03-09 According to my own learning TensorFlow realize LSTM experience, found that although there are many tutorials on the internet, many of them are based on the official examples, using multilayer LSTM to achieve Ptbmodel language model, such as:TensorFlow no

In the previous TensorFlow Exercise 1 I mentioned a high-level library using TensorFlow as the backend, called Keras, which is a high-level neural network Python library. In TensorFlow Exercise 1, I was manually defining a neural network, with a few lines of code to take care of it. The first Keras use Theano as the back end,

TensorFlow provides two levels of API, and the underlying TensorFlow core provides complete control for researchers. Higher-level use is simpler, such as Tf.contrib.learn, but contrib is still in the update TensorFlow operation of the core layer The data units in the TensorFlow are represented by tensor, and the tensor

Rule Repository A rule repository is a set of rules. To create a rule repository, you can use your favorite text editor to compile the. krb rule file. A rule repository can contain both forward and reverse inference rules. When a rule repository is activated to assert n

Under Ubuntu16.04, python2.7 and python3.5 are installed by default, and in the terminal, enter "Python" or "python3" to view the specific version. 1. Configure the Pycharm JDK environment before installing pycharm Pycharm requires JDK environment resolution, otherwise the error will be in the installation process. Execute a few command in turn sudo add-apt-repository Ppa:webupd8team/java sudo apt-get update sudo apt-get install Oracle-java8-installer

Tags: code stat leave Tor dia pool ack drivers what to doBy TensorFlow 1.8, Ubuntu 16.04, Cuda 9.0, nvidia-390 tortured for 5 days, finally on the pit, leaving a guide for the benefit of posterity.1. Find out the dependencies first:TensorFlow 1.8 relies on Cuda 9.0,cuda 9.0 dependent nvidia-390.2. Pit:Only nvidia-384,nvidia-390 newness is not supported in Ubuntu 16.04 source.What to do?If you're not in the kingdom, you can install nvidia-390 in your p

PC configuration: GeForce GTX 1080Installing the GTX1080 DriveGo to the NVIDIA network, download the GTX1080 driver, start the search, and then download the required version. I downloaded the latest 384.130.can also be downloaded here.After the download is complete, save as a backup to refresh the new driver.Add Nvidia Source sudo add-apt-repository Ppa:graphics-drivers/ppa If the information is not considered, press ENTER directly.sudo apt-get up

Learning notes TF053: Recurrent Neural Network, TensorFlow Model Zoo, reinforcement learning, deep forest, deep learning art, tf053tensorflow Recurrent Neural Networks. Bytes. Natural language processing (NLP) applies the network model. Unlike feed-forward neural network (FNN), cyclic networks introduce qualitative loops, and the signal transmission does not disappear and continues to survive. The traditional neural network layer is fully connected, a

The machine environment Win7, want to install TensorFlow, tried for a long time, just installed. The official website is kingly.Note: Currently tensorflow only supports Python 3.5 in the Windows environment. *64,. So the Python version must be under the right.The approach I'm using isInstalling with native Pip, using the CPU version.Here is the shared Python link Http://pan.baidu.com/s/1qXGlYdIThe following

TensorFlow serving provides a way to deploy TensorFlow- generated models to online services, including model export,load, and so on. Installation Reference thisHttps://github.com/tensorflow/serving/blob/master/tensorflow_serving/g3doc/setup.md??but because of the problem of being Qiang (Googlesource cannot access )Https://github.com/

Personal essays, Memo referenceFirst of all the recent tensorflow to python3.5.x friendly, I first installed the Python3.6, check other some blog said there was a problem, and later re-installed 3.5.0. Download with Thunderbolt, super fast.Installation is relatively simple, the official website to download, and then install, install, remember to check the add path, the following posted blog referenceBuilding a Python environment under Windows system-I

A very simple example of using C # to invoke TensorFlow. 1. Install TensorFlow First you need to install the Windows version of Tensowflow, use 64-bit python3.5, and if not installed, you need to first install python3.5 Then go to the command line as an administrator and run Pip Install TensorFlow 2.c# calling code initialization CLE and PYTHON35 Starcoref

Original: How to Write Your Own TensorFlow in C + +Author: Ray ZhangNo, I fly Absrtact: TensorFlow is the second generation of AI learning system based on Distbelief, whose name originates from its own operating principle, it is completely open source, and the author expounds How to realize his tensorflow with C + + through a small project of his own. This articl

Recently in the study deeplearning, the theory looked over, ready to start using TensorFlow to do development. Of course, we need to use Python now. Accustomed to automatically fill the full function, or want to be in Python can be automatically filled, read a lot of posts, http://blog.csdn.net/robertsong2004/article/details/48165557, indeed can automatically fill up. But found that after each run of Python, exit () out of the Python environment, the

Current environment: WIN10, anaconda2,python2.7 Objective: To install TensorFlow without affecting the current software environment Currently TensorFlow only supports the Python 3.5 version under Windows, and I only have python2.7 on my system. Installing TensorFlow requires a Python dependency pack, so I chose to install the Anaconda 3 version, which eliminates

ImpressionsToday, I tested the model of my own training, and YOLOv2 done a comparison, the detection is correct, YOLOv2 version of the accuracy is not high, but there are a lot of SSD did not detect, recall rate is not high. Note that the SSD environment is Python3, and running on the python2 will be problematic. TENSORFLOW-GPU, OPENCV installation reference my blog: SSD environment installation 1 Making data setsThe most troublesome is the producti