Machine Learning, Deep Learning, Naturallanguageprocessing.
parallel) it needs another way to represent spacial relationships and invents a new idea called positional embeddings. See this article on why BERT has 3 layers Segment embeddings: BERT can handle two “sentences” to support a bunch of downstream tasks that require an input text and and output text