Name | Size | Last Modified |
|---|---|---|
| antirectifier.py | 3.6 KB | |
| approximating_non_function_mappings.py | 12.5 KB | |
| bayesian_neural_networks.py | 14.2 KB | |
| better_knowledge_distillation.py | 17.7 KB | |
| creating_tfrecords.py | 9.5 KB | |
| debugging_tips.py | 18.1 KB | |
| endpoint_layer_pattern.py | 3.7 KB | |
| float8_training_and_inference_with_transformer.py | 11.7 KB | |
| img/ | - | |
| ipynb/ | - | |
| md/ | - | |
| memory_efficient_embeddings.py | 15.4 KB | |
| packaging_keras_models_for_wide_distribution.py | 10.1 KB | |
| parameter_efficient_finetuning_of_gemma_with_lora_and_qlora.py | 11.4 KB | |
| reproducibility_recipes.py | 10.2 KB | |
| sample_size_estimate.py | 16.5 KB | |
| sklearn_metric_callbacks.py | 4.8 KB | |
| subclassing_conv_layers.py | 4.3 KB | |
| tensorflow_numpy_models.py | 9.8 KB | |
| tf_serving.py | 18.7 KB | |
| tfrecord.py | 7.7 KB | |
| trainer_pattern.py | 4.2 KB |
