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
