Introduction: Sequence-to-Sequence Learning—NMT
Understand the principles of sequence-to-sequence learning applied to neural machine translation. Learn the evolution from statistical machine translation to NMT, how to prepare data, define and train models, evaluate using BLEU scores, visualize attention, and implement practical translation systems and chatbots.
We'll cover the following...
We'll cover the following...
Sequence-to-sequence learning
Sequence-to-sequence learning is the term used for tasks that require mapping an arbitrary-length sequence to another arbitrary-length sequence. This is one of the most sophisticated tasks in NLP, which involves learning many-to-many mappings. Examples of this task include neural machine translation (NMT) and creating chatbots. NMT is where we translate a sentence from ...