tensorflow pix2pix

In the summary of Bayesian individualized sequencing (BPR) algorithm, we discuss the principle of Bayesian personalized sequencing (Bayesian personalized Ranking, hereinafter referred to as BPR), and we will use BPR to make a simple recommendation from the practical point of view. Since the existing mainstream open source class library has no BPR, and it is relatively simple, so with TensorFlow to implement a simple BPR algorithm, let us begin.1. BPR

Software Version Window10 X64 Python 3.6.4 (64-bit) CUDA CUDA Toolkit 9.0 (Sept 2017) CuDNN CuDNN v7.0.5 (Dec 5), for CUDA 9.0 The above version of the test passed.Installation steps:1. to install python, remember to tick pip. 2. detects if CUDA is supported .For more information on the NVIDIA website, see: Https://developer.nvidia.com/cuda-gpus, you can see if you can use

1. Preparation Windows 10 system, 3.6GHZ CPU, 16G memory Visual Studio or 2015 Download and install Git Download and install CMake Download Install Swigwin If you do not need Python bindings, you can skip Clone TensorFlow Switch TensorFlow to the git tag you want to compile Modify Tensorflow/contrib/cmake/cmakelists.txtif(Tensorflow_optimize_for

First, you can install a anaconda. You can then use the Python pip to install a specific version of the TensorFlow, such as Pip Install tensorflow-gpu==1.1.0 Upgrade to the latest: GPU Version: Pip Install--upgrade Tensorflow-gpu CPU Version: Pip Install--upgrade TensorFlow ============== How to view the curr

Copyright NOTICE: This article for Bo Master hjimce original article, the original address is http://blog.csdn.net/hjimce/article/details/51899683. I. Course of study Personal feeling for any deep learning library, such as Mxnet, TensorFlow, Theano, Caffe, and so on, basically I use the same learning process, the general process is as follows: (1) Training stage : Data Packaging-"network construction, training-" model preservation-"visual view of loss

, including more than 100 of the most popular python,r and Scala packages for data science.From Anaconda official download pageSee Anaconda Official tutorial for details, easy to understand!Anaconda Preliminary Study0. Download Anaconda installation package: Anaconda officialI downloaded the anaconda4.3.0for Windows 64bit (built-in python3.6)Download is ready to install, always next step.1. Check if Anaconda is installed successfully:conda --version(hehe, the first step succeeded, happy Point)2.

original link: http://www.cnblogs.com/learn-to-rock/p/5677458.htmlaccidentally on the internet to see a I am very interested in the project Magenta, with TensorFlow let neural network automatically create music. The vernacular is: You can use some of the style of music to make models, and then use the training model of the new music processing to create new music. spent a half-time to finally have the results, very happy, but also this half-day experi

It 's written in front . This paper introduces the task of identifying handwritten characters by using convolution neural network based on TensorFlow on Mnist dataset, including: {Two layers of volume base}+{a layer of Relu full link layer}+{the full link layer of Softmax layer}. Because the structure is simple, the code is clear, the whole article to the main code, reading save effort and convenience. 1. Load mnist Data # load Mnist data from tensor

GitHub Download Complete code Https://github.com/rockingdingo/tensorflow-tutorial/tree/master/mnist Brief introduction It takes a long time to use the TensorFlow training depth neural network model, because the parallel computing provides an important way to improve the running speed. TensorFlow provides a variety of ways to run the program in parallel, and the

Reference website:[1] tensorflow official website Tutorials [2] Geek College 's translation of TensorFlow's official website tutorial[3] How to install TensorFlow under Csdn-ubuntuhttp://blog.csdn.net/zhaoyu106/article/details/52793183 [CSDN]Https://github.com/tensorflow/tensorflow/blob/master/

Always have a habit, see open source code updated, always want to update to the latest version, if ignored, I feel lazy or some irresponsible, this may be a form of obsessive-compulsive disorder it; A few nights ago git pull tensorflow, after finished also did not go after it, these two days to think up or do things manage it, also want to focus on the study into the TensorFlow, do play to feel ^_^. Acco

Installation Environment Win10 Python3.6.4 More than 3.5 version can be, currently tensorflow only support 64-bit python3.5 above version NumPy After installing Python, open the terminal cmd input PIP3 install NumPy Specific ProcessDownload installation Cuda8.0， must be 8.0 version. Download the address and follow the image below to download the local installation package. If the installation is wrong remember to uninstall the previous removal c

Tags: getdir class latest Run 0.11 directory with validation LinuTensorFlow is a deep learning framework with two installed versions to choose from: TensorFlow with the CPU support is only recommended to install this version because it is easy to install and very fast (installs in just 5-10 minutes). TensorFlow with GPU support if you have an NVIDIA GPU, you can install this version. This versi

1. Installing TensorFlow Pip Pip is a Python package installation and management tool, and the installation method is as follows # ubuntu/linux 64-bit $ sudo apt-get install python-pip python-dev # Mac OS X $ sudo easy_install pip Installing TensorFlow # Ubuntu/linux 64-bit, CPU only, Python 2.7: $ sudo pip install--upgrade https://storage.googleapis.com/tensorflow