keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Memory leak when using custom DataGenerator
- output_padding argument in Conv1DTranspose
- tweak torch parameter registration mechanism
- Cant predict after training on TPU.
- Keras 3 gives incorrect output from evaluate/fit in distributed context
- ValueError: Only instances of keras.Layer can be added to a Sequential model. Received: <tensorflow_probability.python.layers.dense_variational_v2.DenseVariational object at 0x000001C67AF5B4D0> (of type <class 'tensorflow_probability.python.layers.dense_variational_v2.DenseVariational'>)
- Why does the sequence length of vectors affect the calculation results of dense under bf16?
- Add registered custom objects inside pickled model file
- The documentation for Conv1DTranspose does not state that the CPU does not support dilation rates larger than 1
- Request for groups parameter support in Conv2DTranspose/Conv1DTranspose Layer
- Docs
- Python not yet supported