| шт.інтел. |
sequence-to-sequence model (Sequence-to-sequence is a family of machine learning approaches used for language processing. Applications include language translation, image captioning, conversational models and text summarization. Alex_Odeychuk); seq2seq model (Seq2seq is a family of machine learning approaches used for language processing. Applications include language translation, image captioning, conversational models and text summarization. Alex_Odeychuk); sequence model (из кн.: Dawani J. Hands-On Mathematics for Deep Learning, 2020 Alex_Odeychuk) |
