It fits in the same niche that Mocha.jl and MXNet.jl are filling right now. MXNet is a ML library that shares many of the same design ideas of TensorFlow and has great Julia support https://github.com/dmlc/MXNet.jl
On Wednesday, 11 November 2015 01:04:00 UTC+9, Randy Zwitch wrote: > > 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 >> >
