Hello Juha! Thanks for the vote of confidence

So any bindings for Tensorflow can only be written around the C API, which is publicly exposed by Google. Unfortunately, they have not added Training functionality to the C API yet. So we will have to wait and see when they do that and then we can support it in Tensorflex too. Also, most other Tensorflow bindings, such as the ones officially written for Golang, only support Inference.

Hello!
@mat_garland_1 and others who might be interested, here is the link for the PR which showcases how to use an RNN-LSTM model for sentiment analysis in Tensorflex. I am going to be working on documentation and a blog post for this as well as the Inception model over the next week, but the description for this PR is sufficiently detailed to get a general idea in the meanwhile:
https://github.com/anshuman23/tensorflex/pull/25

Thank you for creating this library, @anshuman23.

I recently changed my position at work from business developer to data scientist and I’m in the process of digging into a bunch of tools for data wrangling and machine learning.

Python is one of the most common programming languages for data science, due to extensive and robust libraries, such as pandas, NumPy, scikit-learn, TensorFlow, Keras and TensorForce. Those are the primary tools that we use at my workplace at the moment.

I’ll be looking into using Tensorflex as an alternative for deploying machine learning models.

One thing I’m curious about: When you created Tensorflex, did you envision for it to become to Elixir sort of what Keras is to Python? That is, not just for model-serving, but also for training artificial neural networks, etc.—A more generic abstraction layer on top of TensorFlow, CNTK and Theano.

Elixir with it’s highly concurrent capabilities, focus on data transformation (e.g. data pipelines) and strong support for meta-programming, lends itself very well to data science and machine learning. It makes me very excited to see that other people have similar thoughts.

There is an incredible amount of potential for Elixir within data science and machine learning.