Wonderful jobs, Jonathan!
I'd better try this version rather than use TensorFlow in python.
Does it based on PyCall package?
-Kyunghun
2016년 9월 1일 목요일 오전 7시 31분 58초 UTC+9, Jonathan Malmaud 님의 말:
>
> Hello,
> I'm pleased to announce the release of TensorFlow.jl, enabling modern
> GPU-accelerated deep learning for Julia. Simply run Pkg.add("TensorFlow")
> to install and then read through the documentation at
> https://malmaud.github.io/tfdocs/index.html to get started. Please file
> any issues you encounter at https://github.com/malmaud/TensorFlow.jl.
>
> TensorFlow.jl offers a convenient Julian interface to Google's TensorFlow
> library. It includes functionality for building up a computation graph that
> encodes a deep-learning model and automatically minimizing an arbitrary
> loss function with respect to the model parameters. Support is included for
> convolutional networks, recurrent networks with LSTMs, the Adam
> optimization algorithm, loading images, and checkpointing model parameters
> to disk during training
>
> I'm hopeful that this package will ensure Julia remain a first-class
> citizen in world of modern machine learning and look forward to the
> community's help in getting it to match or exceed the capabilities of the
> official Python TensorFlow API.
>
> -Jon
>
