Hi @mat_garland_1! Yes Tensorflex supports Inference for any graph created with Tensorflow. Since you mentioned LSTMs, I’m actually working on an example at the moment which will cover RNNs and LSTMs with Tensorflex. It should be up on the Github repository in a day or so. Will also try and write a blog post if it helps 
anshuman23
3
CptnKirk
You could also start a slave node. Execute your NIFs within the slave. With slaves you can also achieve fault tolerance. You’d also avoid the need for C code scaffolding. Assuming you got the NIF from a 3rd party you could avoid maintaining non-elixir code within your codebase.
1
mat_garland_1
anshuman23
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
4
leifericf
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.
4