coursera tensorflow

Steps for building the Tensorflow Environment What? We need to build the TensorFlow environment through the vmwarevirtual Machine Platform + Ubuntu Virtual Machine + pip installation. For more information about other operating systems, see the link provided above. Tip: it is best not to use windows. There will be many compatibility problems later. There are also several installation methods, such as pip, do

Learning notes TF062: TensorFlow linear algebra compiling framework XLA, tf062tensorflow XLA (Accelerated Linear Algebra), a specialized Linear Algebra compiler (demain-specific compiler), optimizes TensorFlow computing. Real-time (just-in-time, JIT) compilation or advance (ahead-of-time, AOT) compilation to implement XLA, which facilitates hardware acceleration. XLA is still in the trial phase. Https://www

Ref: 77836459First, installation environmentThe TensorFlow can support the CPU, or it can support CPU+GPU. The former has a simple environmental requirement and the latter requires additional support. TensorFlow is developed based on vc++2015, so you need to download the installation visualc++ redistributable for Visual Studio 2015来 get MSVCP140.DLL support. If you are installing a GPU version (with n cards

This weekend, I decided it is time:i is going to update my Python environment and get Keras and TensorFlow installed So I could the start doing tutorials (particularly for deep learning) using R. Although I used to is a systems administrator (about years ago), I don ' t do much installing or configuring so I guess T Hat ' s why I ' ve put the this task off for so long. And it wasn ' t unwarranted:it took me the whole weekend to get the install working

Deep Learning Library packages Theano, Lasagne, and TensorFlow support GPU installation in Ubuntu With the popularity of deep learning, more and more people begin to use deep learning to train their own models. GPU training is much faster than the CPU, allowing models that require one week of training to be completed within one day. This post explains how to install Theano, Lasagne, TensorFlow trained with

Preface Recently learning TensorFlow, you need to install its environment. Originally intended to install an Ubuntu system for the computer, it was too troublesome to choose to install it in Windows. Because TensorFlow needs more dependent environment, it is time-consuming and laborious to install, and error prone. Search on the internet found the installation of Anaconda, after the practice found that the

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

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

Yesterday want to run a machine learning code, in the WIN10 system to configure the day of the Python environment, is really a headache, ready to write a blog to help the next need to configure the Environment brothers.1. Download AnacondaAccording to yesterday's experience, found that Anaconda is really useful. : https://www.anaconda.com/download/I'm under the 64-bit.After the good is installed, the installation process is very simple, here will not write, but the suggestion is to add to the en

Learning notes TF057: TensorFlow MNIST, convolutional neural network, recurrent neural network, unsupervised learning, tf057tensorflow MNIST convolutional neural network. Https://github.com/nlintz/TensorFlow-Tutorials/blob/master/05_convolutional_net.py.TensorFlow builds a CNN model to train the MNIST dataset. Build a model. Define input data and pre-process data. Read the data MNIST to obtain the training

Mnist Data Set IntroductionMnist is an entry-level computer vision dataset that contains a variety of handwritten digital pictures:The Mnist dataset contains callout information, which represents 5, 0, 4, and 1, respectively.The official website of the Mnist dataset is Yann LeCun ' s websiteAutomatic downloadFirst posted on GitHub address: https://github.com/tensorflow/tensorflow/tree/master/

Transferred from: https://blog.csdn.net/xg123321123/article/details/78017997This blog is transferred from the following blog:TensorFlow Learning Notes 2:about Session, Graph, operation and TensorCs20si:tensorflow for study Note 1 The following is the text: 1TensorFlow is a graph-based computing system.The nodes of a graph are composed of operations (operation), and each node of the graph is connected by tensor (Tensor) as an edge.So the TensorFlow cal

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

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