More flexible models with TensorFlow eager execution and Keras
This article is originally published at https://blogs.rstudio.com/tensorflow/Advanced applications like generative adversarial networks, neural style transfer, and the attention mechanism ubiquitous in natural language processing used to be not-so-simple to implement with the Keras declarative coding paradigm. Now, with the advent of TensorFlow eager execution, things have changed. This post explores using eager execution with R.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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