I have a deep learning model written in python in tensorflow framework. I have the following pipeline in place.
1. A dataflow pipeline using apache beam ([login to view URL])
2. A deep learning model (estimator) written in tensorflow framework.
3. A swagger api application that connects to exported model and serves predictions using REST.
The way its supposed to work is to that dataflow pre processes the data from one folder and saves it into another. Deep learning model trains on that data and saves its checkpoint files and exports itself into a packaged model. The Swagger app runs in App Engine picks up the packaged model and serves it over REST API.
Unfortunately, there are all in separate repos and are not connected to each other to work in synchronisation. I am in need of a developer who can connect everything together and make a proper readme file so I can modify it according to my needs later.
The developer should have experience in Google Cloud Platform and Tensorflow. However, all references and documentation will be provided.
The budget for this project is $70 USD.
6 freelanceria on tarjonnut keskimäärin %project_bid_stats_avg_sub_26% %project_currencyDetails_sign_sub_27% tähän työhön
I've worked on batch streaming pipelines with Gcloud and REST APIs for serving my models as an endpoint, and your work is a piece of cake for me. Thanks. Best, Deb