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---
library_name: keras
---
## Model description
This repo contains the model and the notebook on [how to build and train a Keras model for Collaborative Filtering for Book Recommendations](https://colab.research.google.com/drive/1ZdBkbkpHPmYunq85iO9qVLjgeMC7ml9k?usp=sharing).
Full credits to Hosna Qasmei.
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
| learning_rate | 0.0010000000474974513 |
| decay | 0.0 |
| beta_1 | 0.8999999761581421 |
| beta_2 | 0.9990000128746033 |
| epsilon | 1e-07 |
| amsgrad | False |
| training_precision | float32 |
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> |