New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add AbstractTfLayersPredictionGraph #86

Open

jfkirk opened this issue Jul 25, 2018 · 0 comments

Assignees

Labels

enhancement release goal

Owner

jfkirk commented Jul 25, 2018 •

edited

Loading

A neural net for prediction would break some of the assumptions about the relationship between user and item reprs.

This could allow a DNN to directly learn relationships between user/item features when coupled with the FeaturePassThroughRepresentationGraph.

Coupled with this, we should also implement the representation graph with TfLayers.

jfkirk self-assigned this

jfkirk added enhancement release goal labels

jfkirk changed the title ~~Add AbstractKerasPredictionGraph~~ Add AbstractTfLayersPredictionGraph

jfkirk mentioned this issue

Autoencoder model #131

Open

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment