NumPy-style broadcasting for R TensorFlow users
This article is originally published at https://blogs.rstudio.com/tensorflow/Broadcasting, as done by Python's scientific computing library NumPy, involves dynamically extending shapes so that arrays of different sizes may be passed to operations that expect conformity - such as adding or multiplying elementwise. In NumPy, the way broadcasting works is specified exactly; the same rules apply to TensorFlow operations. For anyone who finds herself, occasionally, consulting Python code, this post strives to explain.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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