Name | Size | Last Modified |
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advanced_autodiff.ipynb | 37 KB | |
autodiff.ipynb | 33.9 KB | |
basic_training_loops.ipynb | 23 KB | |
basics.ipynb | 30.2 KB | |
checkpoint.ipynb | 25.9 KB | |
core/ | - | |
create_op.md | 65 KB | |
data.ipynb | 93.6 KB | |
data_performance.ipynb | 48.3 KB | |
data_performance_analysis.md | 17.8 KB | |
distributed_training.ipynb | 55.7 KB | |
dtensor_overview.ipynb | 48.6 KB | |
eager.ipynb | 39.2 KB | |
effective_tf2.ipynb | 34.1 KB | |
effective_tf2.md | 17.5 KB | |
estimator.ipynb | 37.2 KB | |
extension_type.ipynb | 84.3 KB | |
function.ipynb | 78 KB | |
gpu.ipynb | 20.9 KB | |
gpu_performance_analysis.md | 35 KB | |
graph_optimization.ipynb | 16.1 KB | |
intro_to_graphs.ipynb | 37.1 KB | |
intro_to_modules.ipynb | 41.6 KB | |
jax2tf.ipynb | 36.7 KB | |
keras.md | 8.9 KB | |
keras/ | - | |
migrate.ipynb | 86.8 KB | |
migrate/ | - | |
mixed_precision.ipynb | 44.4 KB | |
profiler.md | 56.5 KB | |
ragged_tensor.ipynb | 79.4 KB | |
random_numbers.ipynb | 35 KB | |
saved_model.ipynb | 44.9 KB | |
sparse_tensor_guide.ipynb | 26.6 KB | |
tensor.ipynb | 48.8 KB | |
tensor_slicing.ipynb | 19.4 KB | |
tf_numpy.ipynb | 39.9 KB | |
tf_numpy_type_promotion.ipynb | 40.7 KB | |
tpu.ipynb | 28.8 KB | |
upgrade.ipynb | 22.3 KB | |
variable.ipynb | 14.7 KB | |
versions.md | 25.8 KB |