keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Predict fails on a model containing the Attention layer.
- The documentation for Conv1DTranspose does not state that the CPU does not support dilation rates larger than 1
- Keras argmin function returns incorrect index when handling subnormal float values.
- Request for developer guide: multi-node TPU distributed training with JAX
- Bias Initializer for unbiased classification
- Error loading history file (tf/keras 2.15)
- Tensorflow MultiWorkerMirroredStrategy and input dictionaries
- Loading weights into custom LSTM layer fails: Layer 'lstm_cell' expected 3 variables, but received 0 variables during loading. Expected: ['kernel', 'recurrent_kernel', 'bias']
- Attention layer does not accept output of previous layers in functional API
- When using exponential as the activation function, the outputs of the CPU and GPU have large differences
- Docs
- Python not yet supported