1. Overview
A feature column is a bridge between the original data and the model. In general, the essence of artificial intelligence is to do weights and offset operations to determine the shape of the model.
Before using the TensorFlow version, the data must be processed in a kind and distributed way before it can be used by the artificial intelligence model. The appearance of feature columns makes the work of data processing much easier. 2, the fun
~/cuda_visible_devices=0,1 python your.py# use gpu0,1
# Note that the word should not be wrong
#或者在 program opening
os.environ[' cuda_visible_devices '] = ' 0 ' #使用 GPU 0
os.environ[' cuda_visible_devices '] = ' 0,1 ' # using GPU 0,1
embedding_lookup ()
Use of Embedding_lookup ()About the use of Embedding_lookup () in TensorFlow, in Udacity Word2vec will be involved, this article will be popular to expl
As a result of the recent busy, until the holidays are empty, so will learn from their own knowledge to share. If there is a wrong place, please point out, thank you! At present the deep study is getting more and more fire, the related worker who learns, uses TensorFlow more and more. Recently, a Python script was used to train the model under the TensorFlow line, and the Freeze_graph tool was used to outpu
I. Recommended TWO websites
TensorFlow Official Document: Https://www.tensorflow.org/install/install_windows
TensorFlow Chinese Community: http://www.tensorfly.cn/tfdoc/get_started/os_setup.html
Two. install TensorFlow on WindowsDirectory:
Determine the TensorFlow to install
Requirements
November 9, 2015 Google Open source of the artificial intelligence platform TensorFlow, but also become the 2015 's most popular open source projects. After 12 iterations from v0.1 to v0.12, Google released its version of TensorFlow 1.0 on February 15, 2017, and hosted the first TensorFlow Dev Summit conference in Mountain View, California, USA.
About TensorFlow a very good article, reprinted from the "TensorFlow deep learning, an article is enough" click to open the link
Google is not only the leader in big data and cloud computing, but also has a good practice and accumulation in machine learning and deep learning, and at the end of 2015, open Source was used internally by the deep learning framework TensorF
Install TensorFlow in virtualenv mode on Ubuntu
This article describes how to install tensorflow in virtualenv mode on Ubuntu.
Install pip and virtualenv:
# Ubuntu/Linux 64-bit
Sudo apt-get install python-pip python-dev python-virtualenv
# Mac OS X
Sudo easy_install pip
Sudo pip install -- upgrade virtualenv
Create a Virtualenv virtual environment:
Go to the parent directory where you want to install
TensorFlow is an open source software library that uses data flow diagrams for numerical calculations. In other words, that's the best way to build a deep learning model. This article collates some excellent tutorials and a list of projects on TensorFlow.
First, the tutorial
TensorFlow Tutorial 1-from basics to more interesting
This article directory
Introduction based on Anaconda tensorflow install 1 download Linux version of Anaconda installation package 2 Install Anaconda use Anaconda installation TensorFlow 1 establish a Conda computing environment 2 activation environment using Conda installation TensorFlow 3 Installation TensorFlow 4 Ho
Document Source reprint: http://blog.csdn.net/u010099080/article/details/53418159Http://blog.nitishmutha.com/tensorflow/2017/01/22/TensorFlow-with-gpu-for-windows.htmlPre-Installation PreparationThere are two versions of TensorFlow: CPU version and GPU version. The GPU version requires CUDA and CuDNN support, and the CPU version is not required. If you want to in
Change the series only for the record I study udacity deep learning course!!1. The entire course is divided into four sections, as shown in.The first part will study logic classifier, stochastic optimization and actual data training.In the second part we will learn a deep network and use regularization techniques to train a larger model.In the third part, we will study the image and convolution model in depth.Part IV We will learn text and sequences,
The TensorFlow and the black Tech.
Google hosted the first TensorFlow developer summit in Mountain View, California, February 16, 2017 (Beijing time) 2 o'clock in the morning. Google site announced the world's leading deep learning open source Framework TensorFlow officially released the V1.0 version, and to ensure that Google's current release API interface to m
"Google" + "deep learning", two tags let the December 2015 Google open-source deep learning tool TensorFlow after its release quickly became the world's hottest open source project, April 2016, open source TensorFlow support distributed features, The application to the production environment is further.The TensorFlow API supports Python 2.7 and Python 3.3+, with
# #tensorflow简单介绍:TensorFlow? is a open source software library for numerical computation using data Flow graphs.https://www.tensorflow.org/TensorFlow is Google's second generation of AI learning systems based on Distbelief, and its nomenclature derives from its own operating principles. Tensor (tensor) means that n-dimensional arrays, flow (flow) means that base
Install TensorFlow in Python2.7 in Ubuntu 16.04
My system environment:
Ubuntu 16.04 LTS
Python 1, 2.7
Python 1, 3.5
Two TensorFlow versions:
TensorFlow is installed in the following ways:
Virtualenv
Pip
Docker
Anaconda
Source code compilation
Pip is the Python software package management system: Pip Install Packages recursive abbreviation
The Command
Brief Introduction
Tensorflow-bitcoin-robot: A Bitcoin price prediction robot based on the TensorFlow lstm model.
The article includes a few parts:1. Why try to do this project.2. Why did you choose this model?3. Where does the data from the model come from.4. The optimization process of the model.5. The direction in which the project can be further improved.
The recent performance of the digital currency,
Some tensorflow examples under Windows do not run successfully, such as the example in Https://www.tensorflow.org/tutorials/wide to report the following error: '' Nonetype ' object has no attribute ' bucketize 'Therefore, it is decided to install TF on the Linux environment.Landlord with the Linux system for UBUNTU-16.04.2-DESKTOP-AMD64, installed in the VirtualBox 5.1.18 version.Note that the Unbuntu needs to be 64 bit !!!
I was in the study of TensorFlow, but also in their own notebooks to complete the installation, in the Pycharm to learn. But recently, in order to use Python's scientific computing environment, I uninstalled the previous environment and reinstalled the TensorFlow with Anaconda, which describes how the CPU version is installed.Prerequisite check:
In Https://developer.nvidia.com/cuda-gpus confirm tha
We will go through several stages of installing the CUDA-9.0,CUDNN and TensorFlow CPUs as well as the TensorFlow GPU version. Finally we will install Pytorch with cuda-9.0. In the Marvel movie The Black Widow's "I fight this war, so you don't have to".Last night, April 29, 2018, I successfully installed the TensorFlow on Ubuntu 18.04. However, the key to installi
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