| advanced_autodiff.ipynb | 36.2 KB | |
| autodiff.ipynb | 33.2 KB | |
| basic_training_loops.ipynb | 22 KB | |
| basics.ipynb | 29.2 KB | |
| checkpoint.ipynb | 24.7 KB | |
| core/ | - | |
| create_op.md | 59 KB | |
| data.ipynb | 89.6 KB | |
| data_performance.ipynb | 45.2 KB | |
| data_performance_analysis.md | 15.6 KB | |
| distributed_training.ipynb | 51.4 KB | |
| dtensor_overview.ipynb | 45.6 KB | |
| eager.ipynb | 37.6 KB | |
| effective_tf2.ipynb | 32.4 KB | |
| effective_tf2.md | 14.7 KB | |
| estimator.ipynb | 34.8 KB | |
| extension_type.ipynb | 79.8 KB | |
| function.ipynb | 74.1 KB | |
| gpu.ipynb | 19.7 KB | |
| gpu_performance_analysis.md | 29.9 KB | |
| graph_optimization.ipynb | 15.2 KB | |
| intro_to_graphs.ipynb | 35 KB | |
| intro_to_modules.ipynb | 39.4 KB | |
| jax2tf.ipynb | 36.2 KB | |
| keras.md | 8 KB | |
| keras/ | - | |
| migrate.ipynb | 81.7 KB | |
| migrate/ | - | |
| mixed_precision.ipynb | 40.9 KB | |
| profiler.md | 48.9 KB | |
| ragged_tensor.ipynb | 76.2 KB | |
| random_numbers.ipynb | 32.8 KB | |
| saved_model.ipynb | 42.7 KB | |
| sparse_tensor_guide.ipynb | 25.6 KB | |
| tensor.ipynb | 47.5 KB | |
| tensor.md | 13.4 KB | |
| tensor_slicing.ipynb | 18.6 KB | |
| tf_numpy.ipynb | 38.9 KB | |
| tf_numpy_type_promotion.ipynb | 39.9 KB | |
| tpu.ipynb | 27.5 KB | |
| upgrade.md | 5.8 KB | |
| variable.ipynb | 13.6 KB | |
| variable.md | 4.9 KB | |
| versions.md | 22 KB | |
