Building models with tf.text
There are many resources for building models from numeric data, which means processing text had to occur outside the model. Robby Neale walks you through ragged tensors and tf.text, showcasing its text-based ops and explaining how to quickly build a model starting with text input in tf.data.
- Experience with ML development
What you'll learn
- Get comfortable building models with text-based input and know where to look for text-related ops
Robby Neale is a senior software engineer at Google. He leads the tf.text effort on the NLX infrastructure team, focusing on expanding the capabilities of the TensorFlow platform to make creation of text-based models easier for developers.
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