| antirectifier.ipynb | 5.9 KB | |
| approximating_non_function_mappings.ipynb | 20 KB | |
| bayesian_neural_networks.ipynb | 22.1 KB | |
| better_knowledge_distillation.ipynb | 26.9 KB | |
| creating_tfrecords.ipynb | 14.5 KB | |
| debugging_tips.ipynb | 25.8 KB | |
| endpoint_layer_pattern.ipynb | 6.1 KB | |
| float8_training_and_inference_with_transformer.ipynb | 19.1 KB | |
| memory_efficient_embeddings.ipynb | 22.7 KB | |
| packaging_keras_models_for_wide_distribution.ipynb | 15.4 KB | |
| parameter_efficient_finetuning_of_gemma_with_lora_and_qlora.ipynb | 18.2 KB | |
| reproducibility_recipes.ipynb | 16 KB | |
| sample_size_estimate.ipynb | 23.4 KB | |
| sklearn_metric_callbacks.ipynb | 7.4 KB | |
| subclassing_conv_layers.ipynb | 6.7 KB | |
| tensorflow_numpy_models.ipynb | 15.8 KB | |
| tf_serving.ipynb | 27.7 KB | |
| tfrecord.ipynb | 13 KB | |
| trainer_pattern.ipynb | 7.1 KB | |
