lecture8 - Machine Translation Seq2Seq and Attention
课程内容 主要内容 统计机器翻译模型(Statistical Machine Translation) 梗概 神经机器翻译模型(Neural Machine Translation) Seq2Seq模型(sequence-to-sequence) 评估指标(Metric) 优势与劣势 优势 劣势 注意力机制(Attention) 主要内容 统计机器翻译模型(Statistical Machine
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相关文章
- 1. CS224n-Lecture8-Machine Translation, Seq2Seq and Attention
- 2. 【cs224n-7】Machine Translation, Seq2Seq and Attention
- 3. cs224笔记：Lecture 8 Machine Translation, Seq2Seq and Attention
- 4. 【CS224n】Neural Machine Translation with Seq2Seq
- 5. Seq2Seq and Attention 入门
- 6. 从Machine Translation 到Sequence to Sequence(Seq2seq)、Attention、Pointer Network(prt network)
- 7. Neural Machine Translation by Jointly Learning to Align and....
- 8. 基于PyTorch实现Seq2Seq + Attention的英汉Neural Machine Translation
- 9. Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings 论文总结
- 10. Seq2seq模型详解（attention mechanism、evaluation methods 、Curriculum Learning、Machine Translation）