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TensorFlow Learning Notes 2:about Session, Graph, operation and Tensor

Brief introductionPrevious note: TensorFlow study notes 1:get Started We talked about TensorFlow is a computing system based on graph. The nodes of the graph are made up of operations (operation), and each node of the graph is connected by tensor (Tensor) as an edge. So TensorFlow's calculation process is a tensor flow graph. The TensorFlow diagram must be calcul

Problem solving notes-Ubuntu installation tensorflow and problem-solving notes

Cited articles 1. Python 2.7, Ubuntu14.04 as the base environment # Ubuntu/linux 64-bit, CPU only, Python 2.7: $ sudo pip install--upgrade https://storage.googleapis.com/tensorflow/l INUX/CPU/TENSORFLOW-0.8.0-CP27-NONE-LINUX_X86_64.WHL # ubuntu/linux 64-bit, GPU enabled, Python 2.7. Requires CUDA Toolkit 7.5 and CuDNN v4. With GPU acceleration, you need to install Cuda and CUDNN # for other versions, see "

There are three methods for reading Tensorflow data (next_batch ),

There are three methods for reading Tensorflow data (next_batch ), Tensorflow data can be read in three ways: Preloaded data: pre-load data Feeding: Python generates data and then feeds the data to the backend. Reading from file: read directly from the file What are the differences between the three read methods? First, we need to know how TensorFlow (TF)

Windows Anaconda TensorFlow

1, after the installation is complete, open anaconda Prompt, create tensorflow virtual environmentIn the prompt, enter:>>> Conda create-n TensorFlow python=3.52. Enter TensorFlow environment, enter>>> Activate TensorFlowBefore the command line, you can see the Add (TensorFlow) before entering the promptBecame like this

TensorFlow Running program error FAILEDPRECONDITIONERROR

1 failedpreconditionerror Error phenomenaWhen running TensorFlow error, the error statement is as follows:Failedpreconditionerror (see above for Traceback): Attempting to use uninitialized value Variable[[Node:variable/read = _mklidentity[t=dt_float, _kernel= "Mklop", _device= "/job:localhost/replica:0/task:0/device: Cpu:0 "] (Variable, DMT/_0)]A straightforward translation of the cause of the error (letter, elegance, and accuracy of the serious missi

Queues in the TensorFlow

In the previous article, although the results were correct, the result was an error at the end of the run: _1_input_producer:skipping cancelled enqueue attempt with \ not closed This is mainly because the main thread has been closed, but the read Data queue thread is still executing the team. This article from the "Understanding of TensorFlow Queue", the article on the TF queue is very detailed, benefit, it is necessary to reprint over. There are some

ubuntu14.04 installation TensorFlow

Platform Use Caffe C++/cuda Fast So so Comprehensive Cnn All Systems Medium TensorFlow C++/cuda/python Medium Good Medium Cnn/rnn Linux\osx Difficult MXNet C++/cuda Fast Good Comprehensive Cnn All Systems Medium Torch C/lua/cuda Fast Good Comprehensive Cnn/r

Google TensorFlow Artificial Intelligence Learning System introduction and basic use of induction _ AI

TensorFlow TensorFlow (Tengsanfo) is Google based on the development of the second generation of artificial intelligence learning system, its name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other.

TensorFlow implements the Softmax regression model, tensorflowsoftmax

TensorFlow implements the Softmax regression model, tensorflowsoftmax I. Overview and complete code Tensorflow encapsulates MNIST (MixedNational Institute of Standard and Technology database), a very simple machine vision dataset, and can directly load MNIST data into the expected format. this program uses Softmax Regression to train the classification model for Handwritten Digit Recognition. First look at

TensorFlow installation and demo at Windows10 64bit

The current popular deep learning library has Caffe,keras,theano, this article uses the Google Open source has used to make Alphago's deep learning system TensorFlow.1: Install TensorFlowThe earliest TensorFlow only supported Mac and Linux systems and currently supports Windows systems, but requires a python3.5 (64bit) version. TensorFlow has CPU and GPU versions

The functions in sub and mul in the official TensorFlow document have been renamed in the API

The following two issues were encountered in TensorFlow Chinese document Learning TensorFlow in TensorFlow official documents and Geek College:1) attributeerror:module ' TensorFlow ' has no attribute ' sub '# Enter an interactive tensorflow session Import == tf. Variable ([

Install TensorFlow source code in Ubuntu 15.04

Install TensorFlow source code in Ubuntu 15.04 This article describes how to install TensorFlow source code. The installed system is Ubuntu 15.04.Obtain TensorFlow source code 1 git clone --recurse-submodules https://github.com/tensorflow/tensorflow Use--re

Deep Learning Framework Google TensorFlow Learning notes one __ deep learning

TensorFlowTensorFlow is Google's second generation of AI learning systems based on Distbelief, whose name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex data structures to artificial neural networks f

TensorFlow QuickStart 2--enabling handwritten digit recognition

TensorFlow Quick start for handwritten digit recognition Environment: Virtual machine ubuntun16.0.4 TensorFlow (CPU version only)TensorFlow installation See:http://blog.csdn.net/yhhyhhyhhyhh/article/details/54429034Or:Http://www.tensorfly.cn/tfdoc/get_started/os_setup.htmlIn this paper, we will use TensorFlow to te

Ubuntu14.04 under TensorFlow installation

My computer did not install a dual system, so decided to install a tensorflow in the virtual machine, the following is the installation process:1. Installing Anaconda2 for LinuxThe official website under the words very slowly, to the Tsinghua Mirror website, I last article has the websiteInstallation: Bash anaconda2.shNext, you can choose whether to create a virtual environment, create the words Conda create-n ten

Windows Anaconda installation Python + TensorFlow

Download and install AnacondaDownload the anaconda first, which can be downloaded from the image website of Tsinghua University .Install Anaconda, and be careful not to remove the option to add environment variables during installation.After the installation is complete, in the installation directory cmd, enterConda ListYou can see the integration environment that Anaconda provides for us:Here's just a part:To view version information:Conda--versionAnaconda installation was successful.Next need

TensorFlow Export the model to a file and interface settings

In the previous article, "TensorFlow load pre-training model and save Model", we learned how to use the pre-training model. Note, however, that in the previous article, you must have at least 4 files to use the pre-training model: Checkpoint Mymodel.meta mymodel.data-00000-of-00001 mymodel.index This is very inconvenient for us to use. Is there a way to export a PB file and then use it directly. The answer is yes. In the article "

TensorFlow installation based on Anaconda, Windows,linux,ubuntu__linux

First to install the Anaconda.Note that to add an environment variable to the system, there is an option for this. Or you'll need to manually CD to Anaconda3\bin to execute the instructions below. Due to the installation of TensorFlow, use Pip Install TensorFlow The instructions always go wrong, even with the official website. Pip Install--upgrade HTTPS://STORAGE.GOOGLEAPIS.COM/

(i) Windows TensorFlow installation Win64+python3.5__python

November 29, 2016, TF officially announced that version 0.12 TensorFlow supports native Windows operating systems and is not installed through Docker. TF beginners, Windows heavy dependent users, can follow the following feasible installation method. First, install Python 1. Install Python on Windows via pip TensorFlow only supports 64-bit Python3.5on Windows, either via Python 3.5 from python.org or Pyth

WIN10 System Installation Anaconda+tensorflow+keras

was successful.Second, installation TensorFlowOpen Anaconda Prompt1. Upgrade Pip to the latest version:2. Create an environment named TensorFlow and install the Python3.5.2Conda Create--name TensorFlow python=3.5.2Enter Y, enter. After the installation is complete:3. Activate this environment: Activate TensorFlow4. Installing TensorFlowPip Install TensorFlowNote: To install

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