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Author: wangjiawen2013

examples/modern-lstm/README.md

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 # Advanced LSTM Implementation with Burn
-A sophisticated implementation of Long Short-Term Memory (LSTM) networks in Burn, featuring state-of-the-art architectural enhancements and optimizations. This implementation includes bidirectional processing capabilities and advanced regularization techniques, making it suitable for both research and production environments. More details can be found at the [PyTorch implementation](https://github.com/shiv08/Advanced-LSTM-Implementation-with-PyTorch).
+A sophisticated implementation of Long Short-Term Memory (LSTM) networks in Burn, featuring state-of-the-art architectural enhancements and optimizations. This implementation includes bidirectional processing capabilities and advanced regularization techniques. More details can be found at the [PyTorch implementation](https://github.com/shiv08/Advanced-LSTM-Implementation-with-PyTorch).
 
 `LstmNetwork` is the top-level module with bidirectional support and output projection. It can support multiple LSTM variants by setting appropriate `bidirectional` and `num_layers`：
 * LSTM: `num_layers = 1` and `bidirectional = false`