tensorflow course

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

　　After installing TensorFlow under Windows, after running Python under CMD, import TensorFlow appears with the following error:Traceback (most recent):File "D:\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line +, in Swig_ Import_helperreturn Importlib.import_module (mname)File "D:\Python\Python35\lib\importlib__init__.py",

Deep learning has a profound effect on computer science. It makes it possible for cutting-edge technology to research and develop products that are used by tens of millions of of people everyday.The study announced the launch of the second-generation machine learning System (TENSORFLOW), which has been strengthened for the previous distbelief, and more importantly,It's open source and can be used by anyone.Built in 2011, Google's internal deep learnin

TensorFlow v0.11.0 RC1 Released, TensorFlow is Google's second-generation machine learning system, according to Google, in some benchmarks, tensorflow performance than the first generation of distbelief faster than twice times. Extended support for TensorFlow depth learning, any computation that can be expressed using

about TensorFlow Computing model TensorFlow's programming differs greatly from the way I used to approach programming. Previous programming, whether the compiler type of language or scripting language, is a step-by-step, variable calculation, you will get results, such as c=a+b, when the execution of the statement, you will get the value of C. But TensorFlow is not, it first to programmatically, build a ca

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

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 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 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

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

Objective Because of the problem of image Learning machine learning, choose TensorFlow, but seems to go directly from the example of imagenet, but found how to find the end (Python will not, machine learning also do not understand), but according to my past experience, in this situation, and no discerning to the road, when the blind touch (yes , is a blind touch), starting from one o'clock, what to see, look at the relevant knowledge, it is best to re

TensorFlow integrates and implements a variety of machine learning-based algorithms that can be called directly.Supervised learning1) Decision Trees (decision tree)Decision tree is a tree structure, providing people with decision-making basis, decision tree can be used to answer yes and no problem, it through the tree structure of the various situations are represented, each branch represents a choice (select Yes or no), until all the choices are fini

Batch_size is the number of input samples, sequence_length the length of the sequence defined for us. Cell = Tf.nn.rnn_cell. Basiclstmcell (hidden_size) cell = Tf.nn.rnn_cell. Multirnncell ([cell] * num_layers)1 2 Create a cyclic neural network structure, where the LSTM structure is used, hidden_size is the number of hidden layers, multirnncell because we want to create a more complex network, num_layers to the number of lstm layers. Results, states = Tf.contrib.legacy_seq2seq.embedding_rnn_seq

This is my first blog, in reference to other people's blog to install the process, for my platform system, encountered a lot of problems, here to write my practice and the problems encountered.For the reference to the blogger's article, here to express thanks.For this blog, if there is bad writing or wrong place, because my level is limited, as well as the limitations of the problems encountered, can not be taken into account, please give understanding, and hope to get good suggestions, for good

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

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 "

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/

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

A Installing Anaconda3Select the appropriate version of the Anaconda installation, because the website directly download the speed is too slow, we choose to download from Tsinghua University open source software image station.: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/After entering the website, drop down to the bottom and select the Windows version to download.installation process, direct click Next, installation location is best to choose the default can save a lot of trouble.To t

Installation Environment Windows8.1 python3.5.x (TensorFlow only supports version 3.5.x of Python on Windows) Pip 9.0.1 tensorflow-gpu-0.12.0 Cuda Cudnninstallation Process Installing Python3.5 Install Python : https://www.python.org/ Click on Windows under Downloads, this time using Python 3.5. Version 2 Select the fifth of these, Windows x86-64