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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
The following small series for everyone to bring a TensorFlow installation and Jupyter notebook configuration method. Small series feel very good, now share to everyone, also for everyone to make a reference. Let's take a look at it with a little knitting. TensorFlow using Anaconda in Ubuntu installation method and
First, the Ubuntu system installed after the Caffe, installed Jupyter notebook.Execute in terminal, installation instructions:When the installation is complete, run notebook: or Second, the Ubuntu system, the use of virtualenv installed after tensorfow, installed Jupyter notebook.Main steps: Entering a virtual environmentsource myproject/bin/activate
TensorFlow + jupyter notebook + Nvidia DIY setup This is a detailed installation step on Ubuntu 17.04 that requires sudo permissions. Nvidia driver Settings Install NVIDIA Drive Warehouse sudo add-apt-repository ppa:graphics-drivers/ppa sudo apt-get update sudo apt-get upgrade sudo apt-get Install build-essential cmake g++ gfortran git pkg-config python-dev soft
pycharm Jupyter Multi-Environment Jupyter configuration 1 Activate TensorFlow Conda install notebook ipykernel ipthon kernel install--user Pycharm Switch to TensorFlow working environment, new *IPNB file, run. jupyter Drawing
Tensorflow_fold Tensorflow_fold in Jupyter notebook Effects preview as shown above, the environment is CentOS7 + Python with TensorFlow1.0 (Fold include) I to add kernel for Jupyter Jupyter is generally not our own set of the env under the python, such as I include Tensorflow_fold Library of Python is in source activat
Recently learning go, want to knock down go in Jupyter notebook, so Google, there are tutorials,Https://github.com/gopherdata ...Start moving bricks .... $ go get -u github.com/gopherdata/gophernotes$ mkdir -p ~/.local/share/jupyter/kernels/gophernotes$ cp $GOPATH/src/github.com/gopherdata/gophernotes/kernel/* ~/.local/share/
spark2.0 Implementation of IPYTHON3.5 development, and configure Jupyter,notebook to reduce the difficulty of Python development 1, spark2.0 installation will not say, there are many online, will not give me a message.2, we in the spark2.0 under the development of Python, do not need to install Python, direct installation anaconda can be.3, Anaconda download add
Jupyter Notebook is a tool that runs Python through a Web pageSupport for segmented Python runs and intuitive viewing of resultsSupport multi-python environment, need to install (Conda)1. Download Anaconda3, I chose the 64-bit version of Python32.windows Installation3. Go to the command line for version installationInstall a specific versionConda Create--name python36 python=3.6Active versionActivate Python
Application scenarios in order to be able to develop spark programs in Jupyter, Bowen records the process of configuring spark development environment in Jupyter. Many blogs can not effectively build jupyter spark development environment. Prerequisite Components Spark Downloads Spark-2.3.0-bin-hadoop2.7.tgz Apache Toree Apache Toree has one main goal:provide the
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