Introducing Tensorflow Ruby API
summary
Official TensorFlow Ruby bindings are accepted as the official implementation on June 16 2017 built with SWIG and Google Protocol Buffers on top of the TensorFlow C API that lets Ruby create and serialize graphs and run pretrained models. Exposes classes like Tensor Graph Session and supports loading serialized Inception v3 models—examples show 85% top label on a puppy image and 62% on a bridge. Major limitation is the underdeveloped C API so model training and full Python-style construction remain constrained though model loading and inference work.
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chapters (11)
- 0:00Introduction
- 3:20What is TensorFlow
- 8:27Dependencies: SWIG and Protobuf
- 13:03Ruby API classes
- 19:31Matrix ops and Numo gem
- 22:24Protobuf benefits
- 23:49TF C API limits
- 24:32Image recognition with Inception v3
- 29:39TensorBoard visualization
- 33:07Project impact
- 35:13Acknowledgments
