udacity tensorflow

It was an incredibly simple thing to install TensorFlow, but it was on my computer for one weeks. During the encounter all kinds of trouble, all kinds of pits, in this record, convenient for everyone. Errors include: Undefined symbol:zgelsd_ Importerror:cannot import name ' MultiArray ' WHL is not a supported wheel 1, install Anaconda: https://www.continuum.io/downloads/(i installed linux-64-python3.6)I started off directly in Py

This is the various model files generated by TensorFlow: Graphdef (. pb)-A protobuf that represents the TensorFlow training and or computation graph. This contains operators, tensors, and variables definitions. CheckPoint (. ckpt)-serialized variables from a tensorflow graph. This is does not contain the graph structure, so alone it cannot typically is interprete

Learning notes TF064: TensorFlow Kubernetes, tf064tensorflow AlphaGo: each experiment has 1000 nodes and each node has 4 GPUs and 4000 GPUs. Siri: 2 nodes and 8 GPUs for each experiment. AI research relies on massive data computing, instead of performance computing resources. The larger cluster running model shortens the weekly training time to the day-level hour level. Kubernetes, the most widely used container cluster management tool, distributed

Learning notes TF056: TensorFlow MNIST, dataset, classification, visualization, tf056tensorflow MNIST (Mixed National Institute of Standards and Technology) http://yann.lecun.com/exdb/mnist/, entry-level computer vision dataset, handwritten numbers for middle school students in the United States. The training set has 60 thousand images and the test set has 10 thousand images. The number is pre-processed, formatted, adjusted and centered, and the image

Tensorboard Tensorboard's official website tutorials are as follows:Https://www.tensorflow.org/versions/r0.7/how_tos/summaries_and_tensorboard/index.html A simple explanation: Tensorboard is a visual tool that can be used to view TensorFlow diagrams and various values and images in the process.1. Add "Summary operations" to the desired node in the TensorFlow program, and "Summary operations" collects the n

TensorFlow installation is divided into two cases, one is CPU only, and the other is the use of the GPU, which also installs Cuda and CUDNN, the situation is relatively complex. The above two categories recommend using Anaconda as the Python environment, and the basic version of Python is version 3.5. This article is to give the Conda environment configuration installation of TensorFlow, you can not install

1. Install Pipsudo Install Python-pip Python-dev2. Installing TensorFlow for Python 2.7# Ubuntu/linux --bit, CPU only, Python2.7:$ sudoPipInstall--upgrade https://STORAGE.GOOGLEAPIS.COM/TENSORFLOW/LINUX/CPU/TENSORFLOW-0.8.0-CP27-NONE-LINUX_X86_64.WHL# Ubuntu/linux --bit, GPU enabled, Python2.7. Requires CUDA Toolkit7.5and CuDNN v4.# for other versions, see"Instal

This article describes how to install TensorFlow in virtualenv mode on Ubuntu.Install Pip and virtualenv:# ubuntu/linux 64-bitsudo apt-get install python-pip python-dev python-virtualenv# Mac OS xsudo easy_install pipsudo pip I Nstall--upgrade virtualenvTo create a virtualenv virtual environment:Enter the parent directory where you want to install TensorFlow, and then execute the following command to establ

* Record the configuration process, the content is basically the configuration of the problems encountered in each step and the corresponding method found on the Internet, the format will be more confusing. Make some records for the younger brothers and sisters to build a new server to provide some reference (if the teacher to buy a new server), but also hope to help people in need. System configuration: CPU Xeon e5-2620 V3, Gpu:nvida TITAN X, Os:ubuntu 14.04 Laboratory to block Titan X, the s

Win10 TensorFlow (GPU) installation detailedWritten in front: TensorFlow is Google's second generation of AI learning systems based on Distbelief, and its naming comes from its own operating principles. Tensor (tensor) means that n-dimensional arrays, flow (flow) means that based on the calculation of the flow graph, the TensorFlow is the calculation process of t

Learning notes TF049: TensorFlow model storage and loading, queue threads, loading data, custom operations, tf049tensorflow Generate the checkpoint file (chekpoint file). The extension is. ckpt, And the tf. train. Saver object is generated by calling Saver. save. Contains weights and other program-Defined variables, excluding the graph structure. Another program needs to re-create the graphic structure to tell Ten