| antirectifier.ipynb | 6.2 KB | |
| approximating_non_function_mappings.ipynb | 20.3 KB | |
| bayesian_neural_networks.ipynb | 22.2 KB | |
| better_knowledge_distillation.ipynb | 27.2 KB | |
| creating_tfrecords.ipynb | 14.8 KB | |
| debugging_tips.ipynb | 26 KB | |
| endpoint_layer_pattern.ipynb | 6.3 KB | |
| float8_training_and_inference_with_transformer.ipynb | 19.5 KB | |
| memory_efficient_embeddings.ipynb | 22.8 KB | |
| packaging_keras_models_for_wide_distribution.ipynb | 15.7 KB | |
| parameter_efficient_finetuning_of_gemma_with_lora_and_qlora.ipynb | 18.5 KB | |
| reproducibility_recipes.ipynb | 16.2 KB | |
| sample_size_estimate.ipynb | 23.6 KB | |
| sklearn_metric_callbacks.ipynb | 7.6 KB | |
| subclassing_conv_layers.ipynb | 7.1 KB | |
| tensorflow_numpy_models.ipynb | 16 KB | |
| tf_serving.ipynb | 28 KB | |
| tfrecord.ipynb | 13.2 KB | |
| trainer_pattern.ipynb | 7.4 KB | |
