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[ASK] Need more info for Wide&Deep and DeepFM models in the MIND paper

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#1,277 opened on Jan 14, 2021

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Description

Description

hi, I want to replicate the performances of your Wide&Deep and DeepFM models in the MIND paper with another deep learning framework, would you mind show me the net structure（such as embedding size, hidden size, with batch norm or not）, lr and input features of your model?

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Research direction
Look for the original paper or code repository to find the model architecture details such as embedding size, hidden size, batch norm usage, learning rate, and input features.
Tech stack
python
Domain
machine learningai
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonDeep Learning
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70