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    Download Tensorflow Mac 2

      вторник 18 февраля
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    Free ice ecc alternatives for mac download. In this tutorial, you will learn to install TensorFlow 2.0 on your macOS system. Step #2 (Catalina only): Choose Bash or ZSH as your shell. The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 19 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists. Quickly download 7,500+ Python/R data science packages.

    The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning on Linux, Windows, and Mac OS X. With over 19 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:
    • Quickly download 7,500+ Python/R data science packages
    • Manage libraries, dependencies, and environments with Conda
    • Develop and train machine learning and deep learning models with scikit-learn, TensorFlow, and Theano
    • Analyze data with scalability and performance with Dask, NumPy, pandas, and Numba
    • Visualize results with Matplotlib, Bokeh, Datashader, and Holoviews

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    TensorFlow provides aJava API—particularly useful for loading models created with Python and running themwithin a Java application.

    Note: There is no libtensorflow support for TensorFlow 2 yet. It is expectedin a future release.Caution: The TensorFlow Java API is not covered by the TensorFlowAPI stability guarantees.

    Supported Platforms

    TensorFlow for Java is supported on the following systems:

    • Ubuntu 16.04 or higher; 64-bit, x86
    • macOS 10.12.6 (Sierra) or higher
    • Windows 7 or higher; 64-bit, x86

    To install TensorFlow on Android, seeAndroid TensorFlow support and theTensorFlow Android Camera Demo.

    TensorFlow with Apache Maven

    To use TensorFlow with Apache Maven,add the dependency to the project's pom.xml file:

    GPU support

    If your system has GPU support, add the following TensorFlowdependencies to the project's pom.xml file:

    Example program

    This example shows how to build an Apache Maven project with TensorFlow. First,add the TensorFlow dependency to the project's pom.xml file:

    Create the source file (src/main/java/HelloTensorFlow.java):

    Compile and execute:

    The command outputs: Hello from version

    Success: TensorFlow for Java is configured.

    TensorFlow with the JDK

    TensorFlow can be used with the JDK through the Java Native Interface (JNI).

    Download

    1. Download the TensorFlow Jar Archive (JAR): libtensorflow.jar
    2. Download and extract the Java Native Interface (JNI) file for your operatingsystem and processor support:
    JNI versionURL
    Linux
    Linux CPU onlyhttps://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-linux-x86_64-1.14.0.tar.gz
    Linux GPU supporthttps://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-gpu-linux-x86_64-1.14.0.tar.gz
    macOS
    macOS CPU onlyhttps://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-darwin-x86_64-1.14.0.tar.gz
    Windows
    Windows CPU onlyhttps://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-cpu-windows-x86_64-1.14.0.zip
    Windows GPU supporthttps://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow_jni-gpu-windows-x86_64-1.14.0.zip
    Note: On Windows, the native library (tensorflow_jni.dll) requiresmsvcp140.dll at runtime. See the Windows build from sourceguide to install the Visual C++ 2015 Redistributable.

    Compile

    Using the HelloTensorFlow.java file from the previous example,compile a program that uses TensorFlow. Make sure the libtensorflow.jar isaccessible to your classpath:

    Run

    To execute a TensorFlow Java program, the JVM must access libtensorflow.jar andthe extracted JNI library.

    The command outputs: Hello from version

    Success: TensorFlow for Java is configured.

    Build from source

    TensorFlow is open source. Readthe instructions to build TensorFlow's Java and native libraries from source code.

    Download Tensorflow Mac 2 В© 2020