Almir Bolduan
Almir Bolduan
> We are also exploring the TensorFlow recommender library Hello @jemmott ! Have you already tested It? How It performs? Thanks!
I read the TFRS paper. How can we share the same movie embeddings for movie past watches and movie label? This approach is mentioned on a paper image: https://i.imgur.com/LABo21v.png Using...
> I read the TFRS paper. > > How can we share the same movie embeddings for movie past watches and movie label? This approach is mentioned on a paper...
> You will need to share the embedding table you use for past movie watches and movie labels in order to share the embeddings. Can I share the same embedding...
> There's a nice tutorial in the next section called "Using rich feature". Please have a look at [Feature Preprocessing](https://www.tensorflow.org/recommenders/examples/featurization) (basically covers most types of input). It would be nice...
> ``` > ValueError: Shape must be rank 2 but is rank 3 for '{{node concat}} = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32](args_0, args_2, concat/axis)' with input shapes: [128,0], [?,128,100], []. > ```...
> I think the doc would benefit from a specific how-to on how to tell if it's overfitting and what to try to combat the issue. I think this would...
> @almirb Yeah, nice but won't this take months or years to get all done and right? I think there are mlops frameworks out there to automate this kind of...
> Leaving this comment to help others out as I'm sure I'm not the only one who didn't "get it" straight away: > > If you go through the linked...