A quick question:last year when caffe2 first came out. You suggested to stick to caffe because caffe2 at that time is not mature. Now that caffe2 is officially release, is there any reason we should still use caffe?
There is no push to migrate from Caffe to Caffe2 for sure. After Facebook "dogfooding" our own implementation, I think it is safe to say that C2 is now much stable. I would encourage you to try migrating it, letting us know if you run into problems, and stay tuned for the nice additional features that you may be able to enjoy from C2 - like optimized computation with MKLDNN, etc.
Another issue I am concerned about is the visualization tools. As you know, caffe lags behind tensorflow on the nice visualization tool such as tensorboard. Would caffe2 have some nice visualization tool like this?
