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Showing content from https://github.com/fazibear/tensorflow.cr below:

fazibear/tensorflow.cr: Crystal binding for TensorFlow.

Crystal binding for TensorFlow.

This is an early-stage open-source project. You can call functions from bindings directly, but wrappers are not ready yet.

You need to compile and install libtensorflow.so from this repo.

Quick instructions:

$ ./configure
$ cd tensorflow
$ bazel build :libtensorflow.so
$ cp ../bazel-bin/tensorflow/libtensorflow.so /usr/local/lib/

Add this to your application's shard.yml:

dependencies:
  tensorflow:
    github: fazibear/tensorflow.cr

See examples repository.

  1. Fork it ( https://github.com/fazibear/tensorflow/fork )
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

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