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Tag: tensorflow

  • Boston Housing Data Analysis

    API
    https://www.tensorflow.org/api_docs/python/tf/keras/datasets/boston_housing/load_data

    Samples contain 13 attributes of houses at different locations around the Boston suburbs in the late 1970s. Targets are the median values of the houses at a location (in k$).

    http://lib.stat.cmu.edu/datasets/boston

    404×13 = 5252

    y_train x_train 404 samples
    y_test x_test 102 samples
    x 13
    y 1 target scalar

    y_train, y_test: numpy arrays of shape (num_samples,) containing the target scalars. The targets are float scalars typically between 10 and 50 that represent the home prices in k$.

  • conda jupyter tensorflow

    found on #stackoverflow
    https://stackoverflow.com/a/43259471/1650038

    Create a virtual environment – conda create -n tensorflowx

    • conda activate tensorflowx

    So then the next thing, when you launch it:

    1. If you are not inside the virtual environment type – Source Activate Tensorflow
    2. Then inside this again install your Jupiter notebook and Pandas libraries, because there can be some missing in this virtual environment

    Inside the virtual environment just type:

    1. pip install jupyter notebook
    2. pip install pandas

    Then you can launch jupyter notebook saying:

    1. jupyter notebook
    2. Select the correct terminal python 3 or 2
    3. Then import those modules

    ! start jupy from project folder in Documents

    .py files

    git init
add commit
git remote add origin  <REMOTE_URL> 
git push remot origin

    conda jupyter tensorflow: github condjup is local xfold repo
    vs code debug tensorflo: repo deepflo
    docker tensorflow image: once again:
    docker run -it –rm -v $(realpath ~/notebooks):/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-jupyter
    https://codeflysurf.com/2021/11/22/running-tensorflow-in-jupyter-notebook-docker/

  • running tensorflow in jupyter notebook and docker

    install

    https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-20-04

    pull run

    https://hub.docker.com/r/tensorflow/tensorflow/

    docker run -it --rm -v $(realpath ~/notebooks):/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-jupyter

    files in ~/notebooks

    d

  • tensorflow pipenv keras

    https://github.com/flowxcode/deepflow
    https://pipenv.pypa.io/en/latest/
    https://pipenv.pypa.io/en/latest/install/

    $ pipenv run python main.py

$ pipenv shell

    https://stackoverflow.com/a/68673872/1650038

    settings.json to pipvenv in home .local

    "python.pythonPath": "${env:HOME}/.local/share/virtualenvs/deepflow-eho_wYiM/bin/python"

    launch.json

    {
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Current File",
            "type": "python",
            "request": "launch",
            "program": "${file}",
            "console": "integratedTerminal",
            //"program": "/home/linx/.local/share/virtualenvs/deepflow-eho_wYiM/<program>",
        }
    ]
}

    test x format

    import tensorflow as tf
print("TensorFlow version:", tf.__version__)