tensorflow estimator

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

Get ready:System environment: WINDOWS10 + Anaconda3 + pycharm(1) environment configuration:Open Anaconda Prompt, enter the Tsinghua warehouse image, so the update will be faster:Input:Conda config--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/--set show_channel_ URLs YesAlso in Anaconda Prompt use Anaconda to create a python3.5 environment, the environment name is TensorFlow, enter the following command:Conda create-n

Google Development Technology expert (GDE) Wangyucheng (York Wang)So much has been said before, as if there is not a general concept, how do we write a complete code?Now deep learning is very hot, then we are in the Android things, using the camera to capture pictures, let TensorFlow to identify the image, and finally use the speaker to tell us the results.Isn't it cool? Say the basic function is said so long a string, that base code how long ah?Proje

After the first two TensorFlow test Mnist sample articles uploaded, csdn swallowed my diagram and tested it again when the following problems occurred [test@dl1 mnist]$ python mnist_test_begin.py I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA Library libcublas.so.8.0 locally I tensorflow/stream_executor/dso_loader.cc:135] successfully

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

Comparison between Caffe, TensorFlow, and MXnet open source libraries Recently, Google opened up its internal deep learning framework TensorFlow [1] and discussed the three open-source libraries in combination with the open-source MXNet [2] and Caffe [3, among them, only Caffe has carefully read the source code. The other two libraries only read the official documentation and some comments from researchers.

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-Correlation Apitensorflow Correlation function understanding Task Time: Unknown time Tf.truncated_normaltruncated_normal( shape, mean=0.0, stddev=1.0, dtype=tf.float32, seed=None, name=None)Function Description:Produces a truncated normal distribution random number, the value range is [mean - 2 * stddev, mean + 2 * stddev] .Parameter list: Name of parameter must-Choose type Descr

November 9, 2015, Google released the AI system TensorFlow and announced open source, the same day, the Geek College organization online tensorflow Chinese document translation. One months later, the 30 chapters of the document are all translated and proofread, on-line and provide e-book download, this document on-line for domestic and foreign use of Chinese learning te