jostmey/NakedTensor
A minimal tutorial series demonstrating linear regression with gradient descent using TensorFlow.
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The repository provides three progressively advanced examples of fitting a line to data using gradient descent in TensorFlow. It starts with a serial implementation using Python loops, progresses to tensor operations for parallel execution, and culminates with scaling to 8 million datapoints. The project serves as a hands-on introduction to TensorFlow’s core concepts and distributed computing capabilities.
Frequently asked
- What is jostmey/NakedTensor?
- A minimal tutorial series demonstrating linear regression with gradient descent using TensorFlow.
- Is NakedTensor open source?
- Yes — jostmey/NakedTensor is open source, released under the Apache-2.0 license.
- What language is NakedTensor written in?
- jostmey/NakedTensor is primarily written in Python.
- How popular is NakedTensor?
- jostmey/NakedTensor has 2.4k stars on GitHub.
- Where can I find NakedTensor?
- jostmey/NakedTensor is on GitHub at https://github.com/jostmey/NakedTensor.