Comments (1)
keras.Sequences and tf.datasets are equally fast with 1 worker.
tf.datastes are faster with multi-processing and prefetching.
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Related Issues (20)
- PIL.UnidentifiedImageError: cannot identify image file HOT 2
- DICOM series loader
- DataGenerator iterations HOT 1
- TF dataset from generator: unknown number of iterations in first epoch HOT 1
- TF dataset: Improve CPU performance HOT 3
- Rollback to keras.Sequence again? HOT 1
- Reduce codecov coverage drop fail rate
- Training freeze at end of first epoch (validation computation) HOT 1
- Misplaced link in the tutorials HOT 1
- Wasserstein Distance add to loss function
- Codecov token issue HOT 1
- Add Mac M1 Apple Silicon Support HOT 1
- pathology slide interface with samplify? HOT 1
- AutoML indicates training for 10 Epochs but then trains for 500 when reaching 10 HOT 2
- Submodule dependency issue (classification-model-3D & Keras 3) HOT 2
- ModuleNotFoundError: No module named 'keras.engine' HOT 2
- Regression? HOT 2
- Add XAI SHAP
- Compatibility Issue with TensorFlow Addons and TensorFlow 2.14.0 HOT 3
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