For me, the bigger question is how does TensorFlow fit in/fill in gaps in currently available Julia libraries? I'm not saying that someone who is sufficiently interested shouldn't wrap the library, but it'd be great to identify what major gaps remain in ML for Julia and figure out if TensorFlow is the right way to proceed.
We're certainly nowhere near the R duplication problem yet, but certainly we're already repeating ourselves in many areas. On Monday, November 9, 2015 at 4:02:36 PM UTC-5, Phil Tomson wrote: > > Google has released it's deep learning library called TensorFlow as open > source code: > > https://github.com/tensorflow/tensorflow > > They include Python bindings, Any ideas about how easy/difficult it would > be to create Julia bindings? > > Phil >
