tensorflow/haskell
Haskell language bindings for TensorFlow enabling ML model training and inference from Haskell code.
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The tensorflow-haskell package provides Haskell bindings to TensorFlow, allowing developers to build and train ML models using the TensorFlow ecosystem from Haskell. The library exposes core TensorFlow operations including variables, ops, and minimization routines. It includes examples such as neural network models for the MNIST dataset and linear regression using gradient descent optimization.
Frequently asked
- What is tensorflow/haskell?
- Haskell language bindings for TensorFlow enabling ML model training and inference from Haskell code.
- Is haskell open source?
- Yes — tensorflow/haskell is open source, released under the Apache-2.0 license.
- What language is haskell written in?
- tensorflow/haskell is primarily written in Haskell.
- How popular is haskell?
- tensorflow/haskell has 1.6k stars on GitHub.
- Where can I find haskell?
- tensorflow/haskell is on GitHub at https://github.com/tensorflow/haskell.