tensorflow

This article is the original translation of the Union, reproduced please indicate the source for the "several league community." This article describes an easy way to create your own handwriting recognition engine using TensorFlow. The project shown here as an example. Complete source code can log in GitHub https://github.com/niektemme/tensorflow-mnist-predict/ Introduced I'm doing a piece of machine learni

Integrated TensorFlow TensorFlow is Google's Open framework for machine learning, the latest official version 1.0 released, the author played a bit, about the pit has the following: When the entire package is loaded in the GitHub, we need to enter the Tensorflow/tensorflow/contrib/makefile at the terminal and we can s

Learning notes TF053: Recurrent Neural Network, TensorFlow Model Zoo, reinforcement learning, deep forest, deep learning art, tf053tensorflow Recurrent Neural Networks. Bytes. Natural language processing (NLP) applies the network model. Unlike feed-forward neural network (FNN), cyclic networks introduce qualitative loops, and the signal transmission does not disappear and continues to survive. The traditional neural network layer is fully connected, a

The machine environment Win7, want to install TensorFlow, tried for a long time, just installed. The official website is kingly.Note: Currently tensorflow only supports Python 3.5 in the Windows environment. *64,. So the Python version must be under the right.The approach I'm using isInstalling with native Pip, using the CPU version.Here is the shared Python link Http://pan.baidu.com/s/1qXGlYdIThe following

TensorFlow serving provides a way to deploy TensorFlow- generated models to online services, including model export,load, and so on. Installation Reference thisHttps://github.com/tensorflow/serving/blob/master/tensorflow_serving/g3doc/setup.md??but because of the problem of being Qiang (Googlesource cannot access )Https://github.com/

Personal essays, Memo referenceFirst of all the recent tensorflow to python3.5.x friendly, I first installed the Python3.6, check other some blog said there was a problem, and later re-installed 3.5.0. Download with Thunderbolt, super fast.Installation is relatively simple, the official website to download, and then install, install, remember to check the add path, the following posted blog referenceBuilding a Python environment under Windows system-I

A very simple example of using C # to invoke TensorFlow. 1. Install TensorFlow First you need to install the Windows version of Tensowflow, use 64-bit python3.5, and if not installed, you need to first install python3.5 Then go to the command line as an administrator and run Pip Install TensorFlow 2.c# calling code initialization CLE and PYTHON35 Starcoref

Original: How to Write Your Own TensorFlow in C + +Author: Ray ZhangNo, I fly Absrtact: TensorFlow is the second generation of AI learning system based on Distbelief, whose name originates from its own operating principle, it is completely open source, and the author expounds How to realize his tensorflow with C + + through a small project of his own. This articl

Recently in the study deeplearning, the theory looked over, ready to start using TensorFlow to do development. Of course, we need to use Python now. Accustomed to automatically fill the full function, or want to be in Python can be automatically filled, read a lot of posts, http://blog.csdn.net/robertsong2004/article/details/48165557, indeed can automatically fill up. But found that after each run of Python, exit () out of the Python environment, the

Current environment: WIN10, anaconda2,python2.7 Objective: To install TensorFlow without affecting the current software environment Currently TensorFlow only supports the Python 3.5 version under Windows, and I only have python2.7 on my system. Installing TensorFlow requires a Python dependency pack, so I chose to install the Anaconda 3 version, which eliminates

ImpressionsToday, I tested the model of my own training, and YOLOv2 done a comparison, the detection is correct, YOLOv2 version of the accuracy is not high, but there are a lot of SSD did not detect, recall rate is not high. Note that the SSD environment is Python3, and running on the python2 will be problematic. TENSORFLOW-GPU, OPENCV installation reference my blog: SSD environment installation 1 Making data setsThe most troublesome is the producti

Sometimes, we need to export the TensorFlow model to a single file (with both model schema definitions and weights) for easy use elsewhere (such as deploying a network in C + +). Using the Tf.train.write_graph () by default, only the definition of the network (without weights) is exported, and the file that is exported by Tf.train.Saver () is separated from the weight, and therefore other methods are required. We know that the Graph_def file does not

Update to TensorFlow 1.4 I. Read input data 1. If the database size can be fully read in memory, use the simplest numpy arrays format: 1). Convert the Npy file into a TF. Tensor2). Using Dataset.from_tensor_slices ()Example: # Load The training data into two numpy arrays, for example using ' np.load () '. With Np.load ("/var/data/training_data.npy") as data: features = data["Features"] labels = data["Labels"] # assume that each row of features corresp

using the specified GPU and GPU memory in TensorFlow This document is set up using the GPU 3 settings used by the GPU 2 Python code settings used in the 1 Terminal execution Program TensorFlow use of the memory size 3.1 quantitative settings memory 3.2 Set video memory on demand Reprint please specify the source: Http://www.cnblogs.com/darkknightzh/p/6591923.html Reference URL: Http://stackoverflow.com/que

Catalogue Graphics driver Installation Cuda Installation CUDNN Installation TENSORFLOW-GPU Installation this time using the host configuration:CPU:i7-8700k graphics :gtx-1080tiFirst, install the video driverOpen a Command Window (ctrl+alt+t)sudo apt-get purge nvidia*sudo add-apt-repository ppa:graphics-drivers/ppasudo apt-sudoinstall nvidia-384 nvidia-settingsif the error Add-apt-repository does not exist, run the following c

Virtual machine Ubuntu18.04 TensorFlow CPU version virtual machine vmware Configuration: 20G capacity, expandable 2G memory, expandable The network uses NAT mode Platform: Win10 under the Ubuntu18.04 Problems that arise Network connectivity Issues After the installation of VMware, you need to open all its services, normal connection should be the upper right corner of the three square sign, if

TensorFlow installation and jupyter notebook configuration, tensorflowjupyter Tensorflow uses anaconda for ubuntu installation and jupyter notebook running directory and remote access configuration Install Anaconda in Ubuntu bash ~/file_path/file_name.sh After the license is displayed, press Ctrl + C to skip it, and yes to agree. After the installation is complete, ask whether to add the path or modify the