keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- InvalidArgumentError: RaggedTensorToTensor Error in YOLOv8 Training with EvaluateCOCOMetricsCallback
- TF+XLA+Mixed Precision: Keras fails to compute gradients
- Torch-cuda backend fails to recover after assertion failed
- Backend not switching dynamically between tensorflow and torch
- 🚀OpenVINO Backend: GFIs for Further Development🚀
- pytorch backend lstm very +10x slow (maybe batch size with pytorch backend has different semantics than the traditional Keras semantics?)
- LSTM layer doesn't learn with TextVectorization output (padding ?)
- model.evaluate() not giving the same loss value as model.predict()
- Feature Extraction Losses
- Incorrect values returned by the evaluate method in Model API
- Docs
- Python not yet supported