Name | Size | Last Modified |
|---|---|---|
| antirectifier.py | 3.5 KB | |
| approximating_non_function_mappings.py | 12.3 KB | |
| bayesian_neural_networks.py | 14 KB | |
| better_knowledge_distillation.py | 17.5 KB | |
| creating_tfrecords.py | 9.3 KB | |
| debugging_tips.py | 18 KB | |
| endpoint_layer_pattern.py | 3.5 KB | |
| float8_training_and_inference_with_transformer.py | 11.3 KB | |
| img/ | - | |
| ipynb/ | - | |
| md/ | - | |
| memory_efficient_embeddings.py | 15.3 KB | |
| packaging_keras_models_for_wide_distribution.py | 9.9 KB | |
| parameter_efficient_finetuning_of_gemma_with_lora_and_qlora.py | 11.3 KB | |
| reproducibility_recipes.py | 10 KB | |
| sample_size_estimate.py | 16.3 KB | |
| sklearn_metric_callbacks.py | 4.7 KB | |
| subclassing_conv_layers.py | 4 KB | |
| tensorflow_numpy_models.py | 9.7 KB | |
| tf_serving.py | 18.5 KB | |
| tfrecord.py | 7.5 KB | |
| trainer_pattern.py | 4 KB |
