Related Issues (20)
- ModelCheckpoint saving the model returns error ".save() got an unexpected keyword argument 'overwrite'" HOT 1
- "ValueError: Undefined shapes are not supported." when calling model.call() HOT 2
- Support for channels first data format with zeropadding1D
- model.save fail after updating to keras-nightly HOT 2
- `padding_mode` in convolutions HOT 2
- Gradient accumulation done wrong
- Regression bug when using 3D convolution with channels_first on GPU HOT 2
- Optimizers in Keras V3 are slower than in V2 when working with sparse gradients HOT 2
- Accuracy Drop Across TensorFlow Versions When Using Keras 3 Instead of Keras 2
- keras.utils.PyDataset / tf.keras.utils.Sequence ignoring __len__ different behavior Keras2/Keras3 (tensorflow 2.16) HOT 2
- Incorrect handling of `nan` in `in_top_k` of Jax backend (regression from keras 3.3.3)
- predict_on_batch fails when the model was compiled with steps_per_execution > 1
- Assign doesn't return a value
- Saving and restoring the model is changing type of model inputs and outputs
- Intended behavior of `TorchModuleWrapper`? HOT 1
- PyDataset ignores __len__ during iteration, Tensorflow backend
- Any plans to restore fused layer normalization
- Custom layers with default layers composition hide their weights HOT 1
- SparseCategoricalCrossentropy consumes heavy GPU RAM on over 10K categories. HOT 1
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