keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Slower inference time when using grouped convolutions compared to regular convolutions
- PyTorch error when using dot_product_attention "RuntimeError: (*bias): last dimension must be contiguous"
- Predict fails on a model containing the Attention layer.
- Request for developer guide: multi-node TPU distributed training with JAX
- Bias Initializer for unbiased classification
- 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']
- When using exponential as the activation function, the outputs of the CPU and GPU have large differences
- Using keras model with torch.func.jacrev gives zero gradients
- Incompatibility of compute_dtype with complex-valued inputs
- Docs
- Python not yet supported