Quick Keras Recipes
- Original Link : https://keras.io/examples/keras_recipes/
- Last Checked at : 2024-11-24
Keras usage tips
| Starter | Keras Version | Title | Date Created | Last Modified |
|---|---|---|---|---|
| V3 | Parameter-efficient fine-tuning of Gemma with LoRA and QLoRA | 2024/08/06 | 2024/08/06 | |
| V3 | Float8 training and inference with a simple Transformer model | 2024/05/14 | 2024/05/14 | |
| V3 | Keras debugging tips | 2020/05/16 | 2023/11/16 | |
| V3 | Customizing the convolution operation of a Conv2D layer | 2021/03/11 | 2021/03/11 | |
| V3 | Trainer pattern | 2022/09/19 | 2022/09/26 | |
| V3 | Endpoint layer pattern | 2019/05/10 | 2023/11/22 | |
| V3 | Reproducibility in Keras Models | 2023/05/05 | 2023/05/05 | |
| V3 | Writing Keras Models With TensorFlow NumPy | 2021/08/28 | 2021/08/28 | |
| V3 | Simple custom layer example: Antirectifier | 2016/01/06 | 2023/11/20 | |
| V3 | Packaging Keras models for wide distribution using Functional Subclassing | 2023/12/13 | 2023/12/13 |
| Starter | Keras Version | Title | Date Created | Last Modified ▼ |
|---|---|---|---|---|
| V3 | Parameter-efficient fine-tuning of Gemma with LoRA and QLoRA | 2024/08/06 | 2024/08/06 | |
| V3 | Float8 training and inference with a simple Transformer model | 2024/05/14 | 2024/05/14 | |
| V3 | Packaging Keras models for wide distribution using Functional Subclassing | 2023/12/13 | 2023/12/13 | |
| V3 | Endpoint layer pattern | 2019/05/10 | 2023/11/22 | |
| V3 | Simple custom layer example: Antirectifier | 2016/01/06 | 2023/11/20 | |
| V3 | Keras debugging tips | 2020/05/16 | 2023/11/16 | |
| V3 | Reproducibility in Keras Models | 2023/05/05 | 2023/05/05 | |
| V3 | Trainer pattern | 2022/09/19 | 2022/09/26 | |
| V3 | Writing Keras Models With TensorFlow NumPy | 2021/08/28 | 2021/08/28 | |
| V3 | Customizing the convolution operation of a Conv2D layer | 2021/03/11 | 2021/03/11 |
Serving
| Starter | Keras Version | Title | Date Created | Last Modified |
|---|---|---|---|---|
| V3 | Serving TensorFlow models with TFServing | 2023/01/02 | 2023/01/02 |
| Starter | Keras Version | Title | Date Created | Last Modified ▼ |
|---|---|---|---|---|
| V3 | Serving TensorFlow models with TFServing | 2023/01/02 | 2023/01/02 |
ML best practices
| Starter | Keras Version | Title | Date Created | Last Modified |
|---|---|---|---|---|
| V3 | Estimating required sample size for model training | 2021/05/20 | 2021/06/06 | |
| V3 | Memory-efficient embeddings for recommendation systems | 2021/02/15 | 2023/11/15 | |
| V3 | Creating TFRecords | 2021/02/27 | 2023/12/20 |
| Starter | Keras Version | Title | Date Created | Last Modified ▼ |
|---|---|---|---|---|
| V3 | Creating TFRecords | 2021/02/27 | 2023/12/20 | |
| V3 | Memory-efficient embeddings for recommendation systems | 2021/02/15 | 2023/11/15 | |
| V3 | Estimating required sample size for model training | 2021/05/20 | 2021/06/06 |
Other
| Starter | Keras Version | Title | Date Created | Last Modified |
|---|---|---|---|---|
| V2 | Approximating non-Function Mappings with Mixture Density Networks | 2023/07/15 | 2023/07/15 | |
| V2 | Probabilistic Bayesian Neural Networks | 2021/01/15 | 2021/01/15 | |
| V2 | Knowledge distillation recipes | 2021/08/01 | 2021/08/01 | |
| V2 | Evaluating and exporting scikit-learn metrics in a Keras callback | 2021/10/07 | 2023/11/17 | |
| V2 | How to train a Keras model on TFRecord files | 2020/07/29 | 2020/08/07 |
| Starter | Keras Version | Title | Date Created | Last Modified ▼ |
|---|---|---|---|---|
| V2 | Evaluating and exporting scikit-learn metrics in a Keras callback | 2021/10/07 | 2023/11/17 | |
| V2 | Approximating non-Function Mappings with Mixture Density Networks | 2023/07/15 | 2023/07/15 | |
| V2 | Knowledge distillation recipes | 2021/08/01 | 2021/08/01 | |
| V2 | Probabilistic Bayesian Neural Networks | 2021/01/15 | 2021/01/15 | |
| V2 | How to train a Keras model on TFRecord files | 2020/07/29 | 2020/08/07 |