by eggie5 on 6/6/17, 6:57 AM
Apple's new iOS CoreML inference engine supports Keras models!
Developers will be able to design and train model using Keras and then convert the architecture to run on the CoreML engine. I suppose you can run TensorFlow models too if you designed them w/ Keras.
by blt on 6/6/17, 1:07 PM
by seanmcdirmid on 6/6/17, 7:09 AM
When "Core ML" is no longer a mini language to reason about ML the PL semantics...
by singularity2001 on 6/6/17, 7:02 AM
by kensai on 6/6/17, 6:58 AM
"Core ML is optimized for on-device performance, which minimizes memory footprint and power consumption."
This is major, if they have managed to achieve it reasonably. But before opening a Sekt, I want to see some benchmarks. :)
by jamesswift3 on 6/6/17, 1:49 PM
Federighi says Core ML on iPhone is 6x faster than Google Pixel and Samsung Galaxy S8.
How they actually compare?
by hackerbot on 6/6/17, 8:36 AM
using it means need to handle Android with another framework separately
by db3d on 6/6/17, 2:11 PM
Lots of options to explore, but no reinforcement learning yet.
Also, some converted Core ML Models ready to use here: developer.apple.com/machine-learning
by ajay-d on 6/6/17, 3:39 PM
The python package, coremltools, to convert the trained model is only for python 2.7??
by dmix on 6/6/17, 5:48 PM
Having a directory of trained models to download is an interesting concept. This will certainly accelerate the adoption of ML.
by OldeElk on 6/6/17, 5:39 PM
Does it support caffe/TensorFlow/MXnet model inferencing?
by mtw on 6/6/17, 10:15 AM
Why not caffe2? And why mention libsvm, are we in the 90s?
by killin_dan on 6/6/17, 7:20 AM
Machine Learning needs a new acronym. ML is already taken! Get your own!