[DLHLP 2020] BERT and its family — ELMo, BERT, GPT, XLNet, MASS, BART, UniLM, ELECTRA, and moreHow to Pre-trainDec 17, 2020Dec 17, 2020
Published inYuuWay AI Lab[DLHLP 2020] BERT and its family — Introduction and Fine-tune本章重點:Dec 13, 2020Dec 13, 2020
Published inYuuWay AI Lab[DLHLP 2020] Overview of NLP Tasks本週課程內容主要是要介紹處理NLP任務:包含文字輸出文字、文字輸出類別Dec 8, 2020Dec 8, 2020
Published inYuuWay AI Lab[DLHLP 2020] Speech Recognition (5/7) — Alignment of HMM, CTC and RNN-T (optional)前一章講解完HMM的模型後,本章將回到End-to-end的語音模型來介紹。End-to-end的模型基本上都是在計算P(Y|X)的機率。以LAS為例,我們就是在給定的語音特徵下(X)下,去計算可能獲取最終的詞句(Y)的機率大小。Nov 24, 2020Nov 24, 2020
[Leetcode] Training day-0071475. Final Prices With a Special Discount in a ShopNov 23, 2020Nov 23, 2020