https://github.com/apal21/tensorflow-linear-regression-fit-data

Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.
https://github.com/apal21/tensorflow-linear-regression-fit-data

gradient-descent linear-regression numpy python3 tensorflow

Last synced: 2 months ago
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Fit a line passing through data with some random noise using Tensorflow linear regression with Gradient Descent Optimizer.

• Host: GitHub
• URL: https://github.com/apal21/tensorflow-linear-regression-fit-data
• Owner: apal21
• Created: 2018-06-02T12:29:56.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-06-02T16:33:24.000Z (about 8 years ago)
• Last Synced: 2025-05-31T08:36:44.074Z (about 1 year ago)
• Topics: gradient-descent, linear-regression, numpy, python3, tensorflow
• Language: Jupyter Notebook
• Size: 20.5 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Tensorflow Linear Regression fitting a line through data.

  * Tensorflow version `1.8` and Python version `3.5`

  * Here data is generated using numpy with some `random noise`.

  * Used `Gradient Descent Optimizer` to optimize data

  * Set the learning rate to `0.001`

  * Plotted a line passing through this data using Matplotlib.