Click the blue text above to follow us In recent years, the attention mechanism has become very popular due to its effectiveness, and the combination of attention with various networks is increasingly common. MATLAB 2023 has added the Attention layer, making the implementation of the attention mechanism extremely simple. The detailed usage can be found … Read more
Introduction The left side of the figure below shows the traditional Seq2Seq model (which encodes a sequence and then decodes it back into a sequence). This is a conventional LSTM-based model, where the hidden state at a given timestamp in the Decoder only depends on the current timestamp’s hidden state and the output from the … Read more
Click the “MLNLP” above to select the “Star” public account. Heavyweight content delivered to you first. From | Zhihu Author | Lucas Address | https://zhuanlan.zhihu.com/p/88376673 Column | Deep Learning and Sentiment Analysis Editor | Machine Learning Algorithms and Natural Language Processing Understanding Attention: The Attention Mechanism and Its PyTorch Implementation Biomimetic Brain Attention Model -> … Read more
Recently, Alibaba algorithm expert Kun Cheng participated in the ICASSP 2017 conference with the paper titled Improving Latency-Controlled BLSTM Acoustic Models for Online Speech Recognition. Author Kun Cheng communicating with attendees The research of this paper is based on the premise that to achieve better speech recognition accuracy, the Latency-controlled BLSTM model was used in … Read more