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  • windows10 + anaconda + tensorflow-1.5.0 + python-3.6 + keras-2.2.4配置和安装

    windows10 + anaconda + tensorflow-1.5.0 + python-3.6 + keras-2.2.4配置和安装

    (base) C:Usersjiangshan>conda create --name keras python=3.6
    ==================================================================================
    Collecting package metadata: done
    Solving environment: done
    ## Package Plan ##
    environment location: S:UsersjiangshanAnaconda3envskeras
    added / updated specs:
    - python=3.6
    The following NEW packages will be INSTALLED:

    certifi anaconda/cloud/conda-forge/win-64::certifi-2019.3.9-py36_0
    pip anaconda/cloud/conda-forge/win-64::pip-19.0.3-py36_0
    python anaconda/cloud/conda-forge/win-64::python-3.6.7-he025d50_1004
    setuptools anaconda/cloud/conda-forge/win-64::setuptools-40.8.0-py36_0
    vc anaconda/cloud/conda-forge/win-64::vc-14-0
    vs2015_runtime anaconda/cloud/conda-forge/win-64::vs2015_runtime-14.0.25420-0
    wheel anaconda/cloud/conda-forge/win-64::wheel-0.33.1-py36_0
    wincertstore anaconda/cloud/conda-forge/win-64::wincertstore-0.2-py36_1002
    ===================================================================================

    (base) C:Usersjiangshan>conda activate keras

    (keras) C:Usersjiangshan>pip install tensorflow==1.5【需要指定版本】
    ...............
    Successfully installed absl-py-0.7.0 bleach-1.5.0 html5lib-0.9999999 markdown-3.0.1 numpy-1.16.2 protobuf-3.7.0 six-1.12.0 tensorflow-1.5.0 tensorflow-tensorboard-1.5.1 werkzeug-0.14.1

    (keras) C:Usersjiangshan>pip install keras
    ...............
    Successfully installed h5py-2.9.0 keras-2.2.4 keras-applications-1.0.7 keras-preprocessing-1.0.9 pyyaml-5.1 scipy-1.2.1

    (keras) C:Usersjiangshan>conda install git
    (keras) C:Usersjiangshan>cd F:workspace>cd GitHub_web_download
    (keras) F:workspace>cd GitHub_web_download>git clone https://github.com/fchollet/keras.git

    (keras) F:workspace>cd GitHub_web_download>cd keras/examples/
    (keras) F:workspaceGitHub_web_downloadkerasexamples>python mnist_mlp.py
    ............................................................................
    Test loss: 0.11112916950749117
    Test accuracy: 0.9833
    (keras) F:workspaceGitHub_web_downloadkerasexamples>

    成功

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  • 原文地址:https://www.cnblogs.com/jeshy/p/10529863.html
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